René's URL Explorer Experiment


Title: Daniel Ritchie

Mail addresses
daniel_ritchie@brown.edu

direct link

Domain: dritchie.github.io

NoneIE=edge

Links:

Daniel Ritchiehttps://dritchie.github.io/
Brown Universityhttp://brown.edu
Computer Science Departmenthttp://cs.brown.edu
Brown Visual Computinghttp://visual.cs.brown.edu
Book a slothttps://calendar.app.google/fpzocFqyua7Fy57V7
Info for prospective studentshttps://dritchie.github.io/prospective_students.html
https://github.com/dritchie
https://dritchie.github.io/misc/cv.pdf
https://open.spotify.com/artist/0ZY12JI48nlQQx9DTWxXpZ?si=2f93d2f587494943
https://soundcloud.com/cognizermusic
CSCI 2240: Advanced Computer Graphicshttps://cs2240.graphics/
CSCI 1230: Introduction to Computer Graphicshttps://cs1230.graphics
CSCI 2240: Advanced Computer Graphicshttps://cs2240.graphics/archive/2025
CSCI 1230: Introduction to Computer Graphicshttps://cs1230.graphics/website-fall-24/
How Video Games Saved Math (for me)https://www.youtube.com/watch?v=8lT37g7toG8
Deep Learning for 3D Geometryhttps://www.youtube.com/watch?v=r6S0jQqyZDM&ab_channel=SymposiumonGeometryProcessing2024
Learning to Represent Shapes with Programshttp://school.geometryprocessing.org/summerschool-2022/index.html#course3
Neurosymbolic Generative Models for Structured 3D Contenthttps://www.youtube.com/watch?v=XPJhe7hy_vc&ab_channel=3DGVSeminar
We Need a Deeper Networkhttps://youtu.be/ZwVa4MtPstw
Probabilistic Programming for Computer Graphicshttps://www.youtube.com/watch?v=QprVu_pLT4w
Deep Learning for 3D Geometryhttps://www.dropbox.com/scl/fi/ecvymypvpwn6dgiubduh0/slides.pptx?rlkey=k30ulxvqqu7zizvwpk5t3fyam&dl=0
Zoë Marschnerhttps://zoemarschner.com/
The SIGGRAPH Logo Galleryhttp://siggraph-logo.gallery/
Optimeethttps://github.com/dritchie/optimeet
REU Site: AI for Computational Creativityhttps://aireu.cs.brown.edu/
exploreCSR: Socially-Reponsible AI for Computational Creativityhttps://explorecsr.cs.brown.edu/ai/
Learning to Generate 3D Shapes and Sceneshttps://learn3dg.github.io/
Learning 3D Generative Modelshttps://learn3dgen.github.io/
Learning Generative Models of 3D Structureshttps://3dstructgen.github.io/
Three-phase Paper Writinghttps://dritchie.github.io/2017/10/12/three-phase-paper-writing.html
Computer Sciencehttps://cs.brown.edu
Brown Universityhttps://brown.edu
Brown Visual Computinghttps://visual.cs.brown.edu
Stanford Universityhttps://stanford.edu
Pat Hanrahanhttps://graphics.stanford.edu/~hanrahan
Graphics Labhttps://graphics.stanford.edu
Noah Goodmanhttp://cocolab.stanford.edu/ndg.html
Computation and Cognition Labhttp://cocolab.stanford.edu
University of California, Berkeleyhttp://www.berkeley.edu
Beyond CADhttps://enigma-li.github.io/beyondcad-edinburgh/#speakers
New songshttps://distrokid.com/hyperfollow/cognizer/2--1?ref=release
Symposium for Undergraduates in the Mathematical Scienceshttps://sites.google.com/brown.edu/sums/home
How Video Games Saved Math (for me)https://www.youtube.com/watch?v=8lT37g7toG8
Aditya's paperhttps://bardofcodes.github.io/superfit/
Archivehttps://dritchie.github.io/newsarchive.html
https://matern-fm.github.io/
Matérn Noise for Triangulation-Agnostic Flow Matching on Mesheshttps://matern-fm.github.io/
Tianshu Kuai, https://tianshukuai.github.io/
Arman Maesumi, https://armanmaesumi.github.io/
Daniel Ritchie, https://dritchie.github.io/
Noam Aigerman https://noamaig.github.io/
website https://matern-fm.github.io/
paper https://matern-fm.github.io/static/pdfs/Matern-FM.pdf
arxiv https://arxiv.org/abs/2605.19305
code https://github.com/kts707/matern-fm
https://cs.uwaterloo.ca/~thachisu/gradnuld.pdf
Gradient-based Approximation of Nonuniform Low-Disrepancy Sampleshttps://cs.uwaterloo.ca/~thachisu/gradnuld.pdf
Xiangyu Li, https://cn.linkedin.com/in/uunagato/en
Ege Ciklabakkal, https://cs.uwaterloo.ca/~meciklab/
Daniel Ritchie, https://dritchie.github.io/
Toshiya Hachisuka https://cs.uwaterloo.ca/~thachisu/
paper https://cs.uwaterloo.ca/~thachisu/gradnuld.pdf
https://bardofcodes.github.io/superfit/
Residual Primitive Fitting of 3D Shapes with SuperFrustahttps://bardofcodes.github.io/superfit/
Aditya Ganeshan, https://bardofcodes.github.io/
Mateus Gadelha, http://mgadelha.me/
Thibault Groueix, https://imagine.enpc.fr/~groueixt/
Zhiqin Chen, https://czq142857.github.io/
Siddhartha Chaudhuri, https://www.cse.iitb.ac.in/~sidch/
Vladimir Kim, http://www.vovakim.com/
Yifan Wang, https://yifita.netlify.app/
Daniel Ritchie https://dritchie.github.io/
website https://bardofcodes.github.io/superfit/
paper https://bardofcodes.github.io/papers/superfit/paper.pdf
arxiv https://arxiv.org/abs/2512.09201
code https://github.com/bardofcodes/superfit/
https://arxiv.org/abs/2503.04496
Learning to Place Objects with Programs and Iterative Self Traininghttps://arxiv.org/abs/2503.04496
Adrian Chang, https://www.linkedin.com/in/anc2001
Kai Wang, https://kwang-ether.github.io/
Yuanbo Li, https://liyb2002.github.io/
Manolis Savva, http://msavva.github.io
Angel X. Chang, https://angelxuanchang.github.io/
Daniel Ritchie https://dritchie.github.io/
arxiv https://arxiv.org/abs/2503.04496
https://liyb2002.github.io/yuanboli_files/PLLM.pdf
PLLM: Pseudo-Labeling Large Language Models for CAD Program Synthesishttps://liyb2002.github.io/yuanboli_files/PLLM.pdf
Yuanbo Li, https://liyb2002.github.io/
Dule Shu, https://scholar.google.com/citations?user=NNGmu5cAAAAJ&hl=en&inst=7213243471243491304
Yan-Ying Chen, https://www.tri.global/about-us/dr-yan-ying-chen
Matt Klenk, https://www.tri.global/about-us/dr-matt-klenk
Daniel Ritchie https://dritchie.github.io/
paper https://liyb2002.github.io/yuanboli_files/PLLM.pdf
https://drive.google.com/file/d/1fnxalMVJRS8n0KG1FTf6QGCeLmu4EnAw/view?usp=drive_link
ProcTex: Consistent and Interactive Text-to-texture Synthesis for Part-based Procedural Modelshttps://drive.google.com/file/d/1fnxalMVJRS8n0KG1FTf6QGCeLmu4EnAw/view?usp=drive_link
Ruiqi Xu, https://www.linkedin.com/in/ray-ruiqi-xu-820718192
Zihan Zhu, https://ca.linkedin.com/in/zihanzhuzz
Benjamin Ahlbrand, https://benjamin.ahlbrand.me/
Srinath Sridhar, https://cs.brown.edu/people/ssrinath/
Daniel Ritchie https://dritchie.github.io/
paper https://drive.google.com/file/d/1fnxalMVJRS8n0KG1FTf6QGCeLmu4EnAw/view?usp=drive_link
https://drive.google.com/file/d/1QKveXOcDOzxfsSeU2bdylPqCUMUwN5HD/view?usp=drive_link
CADrawer: Autoregressive CAD Generation from 3D Sketcheshttps://drive.google.com/file/d/1QKveXOcDOzxfsSeU2bdylPqCUMUwN5HD/view?usp=drive_link
Yuanbo Li, https://liyb2002.github.io/
Gilda Manfredi, https://scholar.google.com/citations?user=xqBfzbQAAAAJ&hl=it&inst=7213243471243491304
Henro Kriel, https://www.linkedin.com/in/henro-kriel-2953b4211
Chengye Hao, https://www.linkedin.com/in/chengye-hao
Xianghao Xu, https://xxh43.github.io/
Adrien Bousseau, https://www-sop.inria.fr/members/Adrien.Bousseau/
Daniel Ritchie https://dritchie.github.io/
paper https://drive.google.com/file/d/1QKveXOcDOzxfsSeU2bdylPqCUMUwN5HD/view?usp=drive_link
https://kunkun0w0.github.io/project/GenHSI/
GenHSI: Controllable Generation of Human-Scene Interaction Videoshttps://kunkun0w0.github.io/project/GenHSI/
Zekun Li, https://kunkun0w0.github.io/
Rui Zhou, https://scholar.google.com/citations?user=0z6E8yEAAAAJ&hl=en&inst=7213243471243491304
Rahul Sajnani, https://rahulsajnani.github.io/
Xiaoyan Cong, https://oliver-cong02.github.io/
Daniel Ritchie, https://dritchie.github.io/
Srinath Sridhar https://cs.brown.edu/people/ssrinath/
project page https://kunkun0w0.github.io/project/GenHSI/
arxiv https://arxiv.org/abs/2506.19840
code https://github.com/kunkun0w0/GenHSI
https://arxiv.org/abs/2510.16147
Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Searchhttps://arxiv.org/abs/2510.16147
Maxim Gumin, https://github.com/mxgmn
Do Heon Han, https://www.linkedin.com/in/do-heon-han/
Seung Jean Yoo, https://www.linkedin.com/in/jean-yoo/
Aditya Ganeshan, https://bardofcodes.github.io/
R. Kenny Jones, https://rkjones4.github.io/
Kailiang Fu, https://www.linkedin.com/in/kailiang-fu/
Rio Aguina-Kang, https://www.linkedin.com/in/raguinak/
Stewart Morris, https://www.linkedin.com/in/stewart-morris-6303b4256/
Daniel Ritchie https://dritchie.github.io/
arxiv https://arxiv.org/abs/2510.16147
https://junyu-liu-nate.github.io/partcomposer.github.io/
PartComposer: Learning and Composing Part-Level Concepts from Single-Image Exampleshttps://junyu-liu-nate.github.io/partcomposer.github.io/
Junyu Liu, https://junyu-liu-nate.github.io/
R. Kenny Jones, https://rkjones4.github.io/
Daniel Ritchie https://dritchie.github.io/
project page https://junyu-liu-nate.github.io/partcomposer.github.io/
arxiv https://arxiv.org/abs/2506.03004
code https://github.com/Junyu-Liu-Nate/PartComposer
https://bardofcodes.github.io/migumi/
MiGumi: Making Tightly Coupled Integral Joints Millablehttps://bardofcodes.github.io/migumi/
Aditya Ganeshan, https://bardofcodes.github.io/
Kurt Fleischer, https://graphics.pixar.com/people/kurt/index.html
Wenzel Jakob, https://rgl.epfl.ch/people/wjakob
Ariel Shamir, https://faculty.runi.ac.il/arik/site/index.asp
Daniel Ritchie, https://dritchie.github.io/
Takeo Igarashi, https://www-ui.is.s.u-tokyo.ac.jp/~takeo/
Maria Larsson https://www.ma-la.com/
project page https://bardofcodes.github.io/migumi/
paper https://bardofcodes.github.io/papers/migumi/paper.pdf
code https://github.com/bardofcodes/migumi/
dataset https://huggingface.co/datasets/bardofcodes/migumi-dataset
https://armanmaesumi.github.io/poissonnet/
PoissonNet: A Local-Global Approach for Learning on Surfaceshttps://armanmaesumi.github.io/poissonnet/
Arman Maesumi, https://armanmaesumi.github.io/
Tanish Makadia, https://tanishmakadia.com/
Thibault Groueix, https://imagine.enpc.fr/~groueixt/
Vladimir Kim, http://www.vovakim.com/
Daniel Ritchie, https://dritchie.github.io/
Noam Aigerman https://noamaig.github.io/
project page https://armanmaesumi.github.io/poissonnet/
paper https://armanmaesumi.github.io/papers/2025_poissonnet/sigg25_poissonnet.pdf
code https://github.com/ArmanMaesumi/poissonnet
https://3dlg-hcvc.github.io/diorama/
Diorama: Unleashing Zero-shot Single-view 3D Scene Modelinghttps://3dlg-hcvc.github.io/diorama/
Qirui Wu, https://scholar.google.com/citations?user=9c8J4ogAAAAJ&hl=en&inst=7213243471243491304
Denys Iliash, https://scholar.google.com/citations?user=guExFlYAAAAJ&hl=en&inst=7213243471243491304
Daniel Ritchie, https://dritchie.github.io/
Manolis Savva, http://msavva.github.io
Angel X. Chang https://angelxuanchang.github.io/
project page https://3dlg-hcvc.github.io/diorama/
arXiv https://arxiv.org/abs/2411.19492
https://ivl.cs.brown.edu/research/gigahands.html
GigaHands: A Massive Annotated Dataset of Bimanual Hand Activitieshttps://ivl.cs.brown.edu/research/gigahands.html
Rao Fu, https://freddierao.github.io/
Dingxi Zhang, https://kristen-z.github.io/
Alex Jiang, https://www.alex-jiang.com/
Wanjia Fu, https://wanjia-fu.com/
Austin Funk, https://austin-funk.github.io/
Daniel Ritchie, https://dritchie.github.io/
Srinath Sridhar https://cs.brown.edu/people/ssrinath/
project page https://ivl.cs.brown.edu/research/gigahands.html
arXiv https://www.arxiv.org/abs/2412.04244
https://bardofcodes.github.io/patterns/
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogyhttps://bardofcodes.github.io/patterns/
Aditya Ganeshan, https://bardofcodes.github.io/
Thibault Groueix, https://imagine.enpc.fr/~groueixt/
Paul Guerrero, https://paulguerrero.net/
Radomír Měch, https://research.adobe.com/person/radomir-mech/
Matthew Fisher, https://graphics.stanford.edu/~mdfisher
Daniel Ritchie https://dritchie.github.io/
project page https://bardofcodes.github.io/patterns/
arXiv https://arxiv.org/abs/2412.12463
https://rkjones4.github.io/vpi_edit.html
Learning to Edit Visual Programs with Self-Supervisionhttps://rkjones4.github.io/vpi_edit.html
R. Kenny Jones, https://rkjones4.github.io/
Renhao Zhang, https://renhaoz.github.io/
Aditya Ganeshan, https://bardofcodes.github.io/
Daniel Ritchie https://dritchie.github.io/
project page https://rkjones4.github.io/vpi_edit.html
arXiv https://arxiv.org/abs/2406.02383
code https://github.com/rkjones4/VPI-Edit
https://bardofcodes.github.io/parSEL/
ParSEL: Parameterized Shape Editing with Languagehttps://bardofcodes.github.io/parSEL/
Aditya Ganeshan, https://bardofcodes.github.io/
Ryan Y. Huang, https://ryanhuang.dev/
Xianghao Xu, https://xxh43.github.io/
R. Kenny Jones, https://rkjones4.github.io/
Daniel Ritchie https://dritchie.github.io/
project page https://bardofcodes.github.io/parSEL/
arXiv https://arxiv.org/abs/2405.20319
https://arxiv.org/abs/2410.15199
CLIPtortionist: Zero-shot Text-driven Deformation for Manufactured 3D Shapeshttps://arxiv.org/abs/2410.15199
Xianghao Xu, https://xxh43.github.io/
Srinath Sridhar, https://cs.brown.edu/people/ssrinath/
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/2410.15199
https://3dlg-hcvc.github.io/r3ds/
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understandinghttps://3dlg-hcvc.github.io/r3ds/
Qirui Wu, https://scholar.google.com/citations?user=9c8J4ogAAAAJ&hl=en&inst=7213243471243491304
Sonia Raychaudhuri, https://sonia-raychaudhuri.github.io/
Daniel Ritchie, https://dritchie.github.io/
Manolis Savva, http://msavva.github.io
Angel X. Chang https://angelxuanchang.github.io/
project page https://3dlg-hcvc.github.io/r3ds/
arXiv https://arxiv.org/abs/2403.12301
https://armanmaesumi.github.io/onenoise/
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patternshttps://armanmaesumi.github.io/onenoise/
Arman Maesumi, https://armanmaesumi.github.io/
Dylan Hu, https://dylan.hu/
Krishi Saripalli, https://www.krishisaripalli.com/
Vladimir Kim, http://www.vovakim.com/
Matthew Fisher, https://graphics.stanford.edu/~mdfisher
Sören Pirk, https://storage.googleapis.com/pirk.io/index.html
Daniel Ritchie https://dritchie.github.io/
project page https://armanmaesumi.github.io/onenoise/
arXiv https://arxiv.org/abs/2404.16292
paper https://armanmaesumi.github.io/papers/2024_onenoise/sigg24_onenoise.pdf
https://rkjones4.github.io/template.html
Learning to Infer Generative Template Programs for Visual Conceptshttps://rkjones4.github.io/template.html
R. Kenny Jones, https://rkjones4.github.io/
Siddhartha Chaudhuri, https://www.cse.iitb.ac.in/~sidch/
Daniel Ritchie https://dritchie.github.io/
project page https://rkjones4.github.io/template.html
arXiv https://arxiv.org/abs/2403.15476v1
https://liyb2002.github.io/data/PossibleImpossible_EG24.pdf
PossibleImpossibles: Exploratory Procedural Design of Impossible Structureshttps://liyb2002.github.io/data/PossibleImpossible_EG24.pdf
Yuanbo Li, https://liyb2002.github.io/
Tianyi Ma, https://www.linkedin.com/in/tianyi-martin-ma/
Zaineb Aljumayaat, https://zainebaljumayaat.cargo.site/
Daniel Ritchie https://dritchie.github.io/
paper https://liyb2002.github.io/data/PossibleImpossible_EG24.pdf
code https://github.com/Liyb2002/Impossible_structures/tree/v2
https://seanxzhan.github.io/projects/CharacterMixer.html
CharacterMixer: Rig-Aware Interpolation of 3D Charactershttps://seanxzhan.github.io/projects/CharacterMixer.html
Xiao Zhan, https://seanzhan.com
Rao Fu, https://freddierao.github.io/
Daniel Ritchie https://dritchie.github.io/
project page https://seanxzhan.github.io/projects/CharacterMixer.html
arXiv https://arxiv.org/abs/2402.15580
paper https://drive.google.com/file/d/1OR3X-PuVm1cv2Bgj7SKu582rbHyqYLFU/view?usp=sharing
https://3dlg-hcvc.github.io/shape-wizard/
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objectshttps://3dlg-hcvc.github.io/shape-wizard/
Qirui Wu, https://scholar.google.com/citations?user=9c8J4ogAAAAJ&hl=en&inst=7213243471243491304
Daniel Ritchie, https://dritchie.github.io/
Manolis Savva, http://msavva.github.io
Angel X. Chang https://angelxuanchang.github.io/
project page https://3dlg-hcvc.github.io/shape-wizard/
arXiv https://arxiv.org/abs/2401.00405
https://arxiv.org/abs/2403.09675
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databaseshttps://arxiv.org/abs/2403.09675
Rio Aguina-Kang, https://www.linkedin.com/in/raguinak/
Maxim Gumin, https://github.com/mxgmn
Do Heon Han, https://www.linkedin.com/in/do-heon-han/
Stewart Morris, https://www.linkedin.com/in/stewart-morris-6303b4256/
Seung Jean Yoo, https://www.linkedin.com/in/jean-yoo/
Aditya Ganeshan, https://bardofcodes.github.io/
R. Kenny Jones, https://rkjones4.github.io/
Qiuhong Anna Wei, https://qiuhongannawei.me/
Kailiang Fu, https://www.linkedin.com/in/kailiang-fu/
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/2403.09675
https://sxzhang25.github.io/publications/motion-vectorization.html
Editing Motion Graphics Videos via Motion Vectorization & Transformationhttps://sxzhang25.github.io/publications/motion-vectorization.html
Sharon Zhang, https://sxzhang25.github.io/
Jiaju Ma, https://majiaju.io/about
Daniel Ritchie, https://dritchie.github.io/
Jiajun Wu, https://jiajunwu.com/
Maneesh Agrawala https://graphics.stanford.edu/~maneesh/
project page https://sxzhang25.github.io/publications/motion-vectorization.html
arXiv https://arxiv.org/abs/2309.14642
https://armanmaesumi.github.io/explorable_subspaces/
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Modelshttps://armanmaesumi.github.io/explorable_subspaces/
Arman Maesumi, https://armanmaesumi.github.io/
Paul Guerrero, https://paulguerrero.net/
Vladimir Kim, http://www.vovakim.com/
Matthew Fisher, https://graphics.stanford.edu/~mdfisher
Siddhartha Chaudhuri, https://www.cse.iitb.ac.in/~sidch/
Noam Aigerman, https://noamaig.github.io/
Daniel Ritchie https://dritchie.github.io/
project page https://armanmaesumi.github.io/explorable_subspaces/
paper https://armanmaesumi.github.io/papers/2023_explorable_subspaces/explorable_subspaces.pdf
arXiv https://arxiv.org/abs/2310.07814
https://bardofcodes.github.io/coref/
Improving Unsupervised Visual Program Inference with Code Rewriting Familieshttps://bardofcodes.github.io/coref/
Aditya Ganeshan, https://bardofcodes.github.io/
R. Kenny Jones, https://rkjones4.github.io/
Daniel Ritchie https://dritchie.github.io/
project page https://bardofcodes.github.io/coref/
paper https://github.com/BardOfCodes/coref/blob/gh_pages/static/pdfs/paper.pdf
arXiv https://arxiv.org/abs/2309.14972
https://rkjones4.github.io/shapecoder.html
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitiveshttps://rkjones4.github.io/shapecoder.html
R. Kenny Jones, https://rkjones4.github.io/
Paul Guerrero, https://paulguerrero.net/
Niloy Mitra, http://www0.cs.ucl.ac.uk/staff/n.mitra/
Daniel Ritchie https://dritchie.github.io/
project page https://rkjones4.github.io/shapecoder.html
arXiv https://arxiv.org/abs/2305.05661
https://arxiv.org/abs/2303.01999
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assemblyhttps://arxiv.org/abs/2303.01999
Xianghao Xu, https://xxh43.github.io/
Paul Guerrero, https://paulguerrero.net/
Matthew Fisher, https://graphics.stanford.edu/~mdfisher
Siddhartha Chaudhuri, https://www.cse.iitb.ac.in/~sidch/
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/2303.01999
https://ivl.cs.brown.edu/#/projects/clip-sculptor
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Languagehttps://ivl.cs.brown.edu/#/projects/clip-sculptor
Aditya Sanghi, https://www.autodesk.com/research/people/aditya-sanghi
Rao Fu, https://freddierao.github.io/
Vivian Liu, https://vivian-liu.com/
Karl D. D. Willis, https://www.karlddwillis.com/
Hooman Shayani, https://www.autodesk.com/research/people/hooman-shayani
Amir Hosein Khasahmadi, https://www.autodesk.com/research/people/amir-hosein-khasahmadi
Srinath Sridhar, https://cs.brown.edu/people/ssrinath/
Daniel Ritchie https://dritchie.github.io/
project page https://ivl.cs.brown.edu/#/projects/clip-sculptor
arXiv https://arxiv.org/abs/2211.01427
https://arxiv.org/abs/2304.10320
Neurosymbolic Models for Computer Graphicshttps://arxiv.org/abs/2304.10320
Daniel Ritchie, https://dritchie.github.io/
Paul Guerrero, https://paulguerrero.net/
R. Kenny Jones, https://rkjones4.github.io/
Niloy Mitra, http://www0.cs.ucl.ac.uk/staff/n.mitra/
Adriana Schulz, https://homes.cs.washington.edu/~adriana/
Karl D. D. Willis, https://www.karlddwillis.com/
Jiajun Wu https://jiajunwu.com/
arXiv https://arxiv.org/abs/2304.10320
paper https://drive.google.com/file/d/1g_VpZ80MzkcqZBqj81kBc2VXYKiyzhbO/view?usp=share_link
https://arxiv.org/abs/2207.09446
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Modelhttps://arxiv.org/abs/2207.09446
Rao Fu, https://freddierao.github.io/
Xiao Zhan, https://seanzhan.com
Daniel Ritchie, https://dritchie.github.io/
Srinath Sridhar https://cs.brown.edu/people/ssrinath/
arXiv https://arxiv.org/abs/2207.09446
project page https://ivl.cs.brown.edu/projects/shapecrafter
https://arxiv.org/abs/2206.03480
SHRED: 3D Shape Region Decomposition with Learned Local Operationshttps://arxiv.org/abs/2206.03480
R. Kenny Jones, https://rkjones4.github.io/
Aalia Habib, https://www.linkedin.com/in/aalia-habib-340a051b3/
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/2206.03480
project page https://rkjones4.github.io/shred.html
https://arxiv.org/abs/2112.00584
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Partshttps://arxiv.org/abs/2112.00584
Kai Wang, https://kwang-ether.github.io/
Paul Guerrero, https://paulguerrero.net/
Vladimir Kim, http://www.vovakim.com/
Siddhartha Chaudhuri, https://www.cse.iitb.ac.in/~sidch/
Minhyuk Sung, https://mhsung.github.io/
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/2112.00584
https://drive.google.com/file/d/1wLLGl2ypaiaAwyjnJtDFI3wlvoqDm3_7/view?usp=sharing
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collectionshttps://drive.google.com/file/d/1wLLGl2ypaiaAwyjnJtDFI3wlvoqDm3_7/view?usp=sharing
Xianghao Xu, https://xxh43.github.io/
Yifan Ruan, https://www.linkedin.com/in/yifan-ruan-4024891b0/
Srinath Sridhar, https://cs.brown.edu/people/ssrinath/
Daniel Ritchie https://dritchie.github.io/
paper https://drive.google.com/file/d/1wLLGl2ypaiaAwyjnJtDFI3wlvoqDm3_7/view?usp=sharing
arXiv https://arxiv.org/abs/2206.08497
code https://github.com/xxh43/UKMD
https://rkjones4.github.io/plad.html
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributionshttps://rkjones4.github.io/plad.html
R. Kenny Jones, https://rkjones4.github.io/
Homer Walke, https://homerwalke.com/
Daniel Ritchie https://dritchie.github.io/
project page https://rkjones4.github.io/plad.html
arXiv https://arxiv.org/abs/2011.13045
https://rkjones4.github.io/ngsp.html
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inferencehttps://rkjones4.github.io/ngsp.html
R. Kenny Jones, https://rkjones4.github.io/
Aalia Habib, https://www.linkedin.com/in/aalia-habib-340a051b3/
Rana Hanocka, https://people.cs.uchicago.edu/~ranahanocka/
Daniel Ritchie https://dritchie.github.io/
project page https://rkjones4.github.io/ngsp.html
arXiv https://arxiv.org/abs/2106.12026
https://arxiv.org/abs/2110.07911
Learning to Infer Kinematic Hierarchies for Novel Object Instanceshttps://arxiv.org/abs/2110.07911
Hameed Abdul-Rashid, https://hammania689.github.io/
Miles Freeman, http://milesfreeman.com/
Ben Abbatematteo, https://babbatem.github.io/
George Konidaris, https://cs.brown.edu/people/gdk/
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/2110.07911
https://arxiv.org/abs/2112.07022
Learning Body-Aware 3D Shape Generative Modelshttps://arxiv.org/abs/2112.07022
Alexander Ding, https://alexding.me/
R. Kenny Jones, https://rkjones4.github.io/
Manolis Savva, http://msavva.github.io
Srinath Sridhar, https://cs.brown.edu/people/ssrinath/
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/2112.07022
https://rkjones4.github.io/shapeMOD.html
ShapeMOD: Macro Operation Discovery for 3D Shape Programshttps://rkjones4.github.io/shapeMOD.html
R. Kenny Jones, https://rkjones4.github.io/
David Charatan, http://davidcharatan.com/
Paul Guerrero, https://paulguerrero.net/
Niloy Mitra, http://www0.cs.ucl.ac.uk/staff/n.mitra/
Daniel Ritchie https://dritchie.github.io/
project page https://rkjones4.github.io/shapeMOD.html
arXiv https://arxiv.org/abs/2104.06392
https://drive.google.com/file/d/1aSePGciFxnLRF4dhJynmNNctVfndIRpE/view?usp=sharing
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Roomshttps://drive.google.com/file/d/1aSePGciFxnLRF4dhJynmNNctVfndIRpE/view?usp=sharing
Kai Wang, https://kwang-ether.github.io/
Xianghao Xu, https://xxh43.github.io/
Leon Lei, https://www.linkedin.com/in/leon-lei/
Natalie Lindsay, https://www.linkedin.com/in/natalie-lindsay-660518109/
Selena Ling, https://www.selenaling.com/
Angel X. Chang, https://angelxuanchang.github.io/
Manolis Savva, http://msavva.github.io
Daniel Ritchie https://dritchie.github.io/
paper https://drive.google.com/file/d/1aSePGciFxnLRF4dhJynmNNctVfndIRpE/view?usp=sharing
talk https://www.youtube.com/watch?v=GBzpgLPP5VY&ab_channel=KaiWang
http://pwz.mit.edu/projects/ZG/
Inferring CAD Modeling Sequences using Zone Graphs http://pwz.mit.edu/projects/ZG/
Xianghao Xu, https://xxh43.github.io/
Wenzhe Peng, http://pwz.mit.edu/
Chin-Yi Cheng, http://www.chinyicheng.com/
Karl D. D. Willis, https://www.karlddwillis.com/
Daniel Ritchie https://dritchie.github.io/
project page http://pwz.mit.edu/projects/ZG/
arXiv https://arxiv.org/abs/2104.03900
http://visual.cs.brown.edu/projects/shapefromtracing-webpage/shape_from_tracing__3DV_2020.pdf
Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing http://visual.cs.brown.edu/projects/shapefromtracing-webpage/shape_from_tracing__3DV_2020.pdf
Purvi Goel, https://www.purvigoel.com/
Loudon Cohen, https://www.linkedin.com/in/loudoncohen/
James Guesman, https://bguesman.github.io/
Vikas Thamizharasan, https://vikastmz.github.io/
James Tompkin, http://jamestompkin.com/
Daniel Ritchie https://dritchie.github.io/
paper http://visual.cs.brown.edu/projects/shapefromtracing-webpage/shape_from_tracing__3DV_2020.pdf
project page https://visual.cs.brown.edu/shapefromtracing
http://visual.cs.brown.edu/projects/articulations-webpage/articulations_3dv2020.pdf
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections http://visual.cs.brown.edu/projects/articulations-webpage/articulations_3dv2020.pdf
Xianghao Xu, https://xxh43.github.io/
David Charatan, http://davidcharatan.com/
Sonia Raychaudhuri, https://sonia-raychaudhuri.github.io/
Hanxiao Jiang, https://jianghanxiao.github.io/
Mae Heitmann, https://www.linkedin.com/in/mae-heitmann-770287118/
Vladimir Kim, http://www.vovakim.com/
Siddhartha Chaudhuri, https://www.cse.iitb.ac.in/~sidch/
Manolis Savva, http://msavva.github.io
Angel X. Chang, https://angelxuanchang.github.io/
Daniel Ritchie https://dritchie.github.io/
paper http://visual.cs.brown.edu/projects/articulations-webpage/articulations_3dv2020.pdf
project page https://visual.cs.brown.edu/articulations
https://rkjones4.github.io/pdf/shapeAssembly.pdf
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesishttps://rkjones4.github.io/pdf/shapeAssembly.pdf
R. Kenny Jones, https://rkjones4.github.io/
Theresa Barton, https://github.com/tbarton16
Xianghao Xu, https://xxh43.github.io/
Kai Wang, https://kwang-ether.github.io/
Ellen Jiang, https://ellenjiang.com/
Paul Guerrero, https://paulguerrero.net/
Niloy Mitra, http://www0.cs.ucl.ac.uk/staff/n.mitra/
Daniel Ritchie https://dritchie.github.io/
paper https://rkjones4.github.io/pdf/shapeAssembly.pdf
project page https://rkjones4.github.io/shapeAssembly.html
https://arxiv.org/abs/2002.10102
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translationhttps://arxiv.org/abs/2002.10102
Wallace Lira, http://www.sfu.ca/~wpintoli/
Johannes Merz, https://www.linkedin.com/in/johannes-merz-47aa54165/?originalSubdomain=de
Daniel Ritchie, https://dritchie.github.io/
Daniel Cohen-Or, https://www.cs.tau.ac.il/~dcor/
Hao Zhang https://www.cs.sfu.ca/~haoz/
arXiv https://arxiv.org/abs/2002.10102
https://drive.google.com/open?id=1cv97glyolTtB7NzUucft7z4c2iF29lIi
Learning Generative Models of 3D Structureshttps://drive.google.com/open?id=1cv97glyolTtB7NzUucft7z4c2iF29lIi
Siddhartha Chaudhuri, https://www.cse.iitb.ac.in/~sidch/
Daniel Ritchie, https://dritchie.github.io/
Jiajun Wu, https://jiajunwu.com/
Kai Xu, https://kevinkaixu.net/
Hao Zhang https://www.cs.sfu.ca/~haoz/
paper https://drive.google.com/open?id=1cv97glyolTtB7NzUucft7z4c2iF29lIi
presentation video https://www.youtube.com/watch?v=AoiEm7oOjpU&feature=youtu.be
https://drive.google.com/open?id=1r8Lmos2TW_ef8dg4jg7WwYW7tf_XxsBH
Learning Style Compatibility Between Objects in a Real-World 3D Asset Databasehttps://drive.google.com/open?id=1r8Lmos2TW_ef8dg4jg7WwYW7tf_XxsBH
Yifan Liu, https://scholar.google.com/citations?user=l5DOJ6gAAAAJ&hl=en
Ruolan Tang, https://www.linkedin.com/in/ruolan-tang-75aa4098/
Daniel Ritchie https://dritchie.github.io/
paper https://drive.google.com/open?id=1r8Lmos2TW_ef8dg4jg7WwYW7tf_XxsBH
supplemental https://drive.google.com/open?id=17U8NxNJguP-Ty8oLpZNiP9QmqAxnVUsu
https://drive.google.com/file/d/1CJCM6EQyeUWwxdk6tl8cVxEIhV7s3DoA/view?usp=sharing
PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networkshttps://drive.google.com/file/d/1CJCM6EQyeUWwxdk6tl8cVxEIhV7s3DoA/view?usp=sharing
Kai Wang, https://kwang-ether.github.io/
Yu-an Lin, https://www.linkedin.com/in/ya-lin/
Ben Weissmann, https://www.linkedin.com/in/ben-weissmann-081977100/
Manolis Savva, http://msavva.github.io
Angel X. Chang, https://angelxuanchang.github.io/
Daniel Ritchie https://dritchie.github.io/
paper https://drive.google.com/file/d/1CJCM6EQyeUWwxdk6tl8cVxEIhV7s3DoA/view?usp=sharing
fast forward video https://youtu.be/qgYY-oCPV3I
https://arxiv.org/abs/1811.12463
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Modelshttps://arxiv.org/abs/1811.12463
Daniel Ritchie, https://dritchie.github.io/
Kai Wang, https://kwang-ether.github.io/
Yu-an Lin https://www.linkedin.com/in/ya-lin/
arXiv https://arxiv.org/abs/1811.12463
https://openreview.net/forum?id=SyNPk2R9K7
Learning to Describe Scenes with Programshttps://openreview.net/forum?id=SyNPk2R9K7
Yunchao Liu, https://people.eecs.berkeley.edu/~yunchaoliu/
Zheng Wu, http://people.csail.mit.edu/zhengwu/
Daniel Ritchie, https://dritchie.github.io/
William T. Freeman, https://billf.mit.edu/
Joshua B. Tenenbaum, http://web.mit.edu/cocosci/josh.html
Jiajun Wu https://jiajunwu.com/
OpenReview https://openreview.net/forum?id=SyNPk2R9K7
https://arxiv.org/abs/1707.09627
Learning to Infer Graphics Programs from Hand-Drawn Imageshttps://arxiv.org/abs/1707.09627
Kevin Ellis, http://web.mit.edu/ellisk/www/
Daniel Ritchie, https://dritchie.github.io/
Armando Solar-Lezama, https://people.csail.mit.edu/asolar/
Joshua B. Tenenbaum http://web.mit.edu/cocosci/josh.html
arXiv https://arxiv.org/abs/1707.09627
https://arxiv.org/abs/1808.04325
Improving Shape Deformation in Unsupervised Image-to-Image Translationhttps://arxiv.org/abs/1808.04325
Aaron Gokaslan, https://skylion007.github.io/
Vivek Ramanujan, https://github.com/RamanvProjects
Daniel Ritchie, https://dritchie.github.io/
Kwang In Kim, https://researchportal.bath.ac.uk/en/persons/kwang-in-kim/
James Tompkin http://jamestompkin.com/
arXiv https://arxiv.org/abs/1808.04325
code https://github.com/brownvc/ganimorph
https://dritchie.github.io/pdf/deepsynth.pdf
Deep Convolutional Priors for Indoor Scene Synthesishttps://dritchie.github.io/pdf/deepsynth.pdf
Kai Wang, https://kwang-ether.github.io/
Manolis Savva, http://msavva.github.io
Angel X. Chang, https://angelxuanchang.github.io/
Daniel Ritchie https://dritchie.github.io/
pdf https://dritchie.github.io/pdf/deepsynth.pdf
code https://github.com/brownvc/deep-synth
https://arxiv.org/abs/1712.10215
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scanshttps://arxiv.org/abs/1712.10215
Angela Dai, http://graphics.stanford.edu/~adai/
Daniel Ritchie, https://dritchie.github.io/
Martin Bokeloh, http://graphics.stanford.edu/~bokeloh/
Scott Reed, http://www.scottreed.info/
Jürgen Sturm, http://jsturm.de/
Matthias Nießner http://www.niessnerlab.org/members/matthias_niessner/profile.html
arXiv https://arxiv.org/abs/1712.10215
video https://www.youtube.com/watch?v=5s5s8iH0NF8
https://dritchie.github.io/pdf/procmod-learn.pdf
Example-based Authoring of Procedural Modeling Programs with Structural and Continuous Variabilityhttps://dritchie.github.io/pdf/procmod-learn.pdf
Daniel Ritchie, https://dritchie.github.io/
Sarah Jobalia, https://www.linkedin.com/in/sarah-jobalia-5663068a
Anna Thomas https://www.linkedin.com/in/anna-thomas-5158718a
pdf https://dritchie.github.io/pdf/procmod-learn.pdf
supplemental https://www.dropbox.com/s/zj1dl355f4wuas5/procmod-learn_supplemental.zip?dl=0
https://arxiv.org/abs/1711.08598
An Improved Training Procedure for Neural Autoregressive Data Completionhttps://arxiv.org/abs/1711.08598
Maxime Voisin https://maximevo.github.io
Daniel Ritchie https://dritchie.github.io/
arXiv https://arxiv.org/abs/1711.08598
code https://github.com/maximevo/An-Improved-Training-Procedure-for-Neural-Autoregressive-Data-Completion
https://dritchie.github.io/pdf/ngpm.pdf
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networkshttps://dritchie.github.io/pdf/ngpm.pdf
Daniel Ritchie, https://dritchie.github.io/
Anna Thomas, https://www.linkedin.com/in/anna-thomas-5158718a
Pat Hanrahan, https://graphics.stanford.edu/~hanrahan
Noah D. Goodman http://cocolab.stanford.edu/ndg.html
pdf https://dritchie.github.io/pdf/ngpm.pdf
supplemental https://dritchie.github.io/pdf/ngpm_supplemental.pdf
video https://www.youtube.com/watch?v=ZeZcsbNXMDM
demo http://webppl.org/demos/vines/index.html
arXiv http://arxiv.org/abs/1603.06143
https://dritchie.github.io/pdf/daipp.pdf
Deep Amortized Inference for Probabilistic Programshttps://dritchie.github.io/pdf/daipp.pdf
Daniel Ritchie, https://dritchie.github.io/
Paul Horsfall, http://paulhorsfall.co.uk
Noah D. Goodman http://cocolab.stanford.edu/ndg.html
pdf https://dritchie.github.io/pdf/daipp.pdf
arXiv https://arxiv.org/abs/1610.05735
https://dritchie.github.io/pdf/thesis.pdf
Probabilistic Programming for Procedural Modeling and Designhttps://dritchie.github.io/pdf/thesis.pdf
Daniel Ritchie https://dritchie.github.io/
pdf https://dritchie.github.io/pdf/thesis.pdf
stanford library https://purl.stanford.edu/vh730bw6700
https://dritchie.github.io/pdf/c3.pdf
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Cachinghttps://dritchie.github.io/pdf/c3.pdf
Daniel Ritchie, https://dritchie.github.io/
Andreas Stuhlmüller, https://stuhlmueller.org
Noah D. Goodman http://cocolab.stanford.edu/ndg.html
pdf https://dritchie.github.io/pdf/c3.pdf
slides https://dritchie.github.io/slides/c3.pptx
code https://github.com/probmods/webppl/blob/dev/src/inference/incrementalmh.js
https://dritchie.github.io/pdf/sosmc.pdf
Controlling Procedural Modeling Programs with Stochastically-Ordered Sequential Monte Carlohttps://dritchie.github.io/pdf/sosmc.pdf
Daniel Ritchie, https://dritchie.github.io/
Ben Mildenhall, http://people.eecs.berkeley.edu/~bmild
Noah D. Goodman, http://cocolab.stanford.edu/ndg.html
Pat Hanrahan https://graphics.stanford.edu/~hanrahan
pdf https://dritchie.github.io/pdf/sosmc.pdf
slides https://dritchie.github.io/slides/sosmc.pptx
code https://github.com/dritchie/procmod
demo http://dritchie.github.io/web-procmod
https://dritchie.github.io/pdf/hmc.pdf
Generating Design Suggestions under Tight Constraints with Gradient-based Probabilistic Programminghttps://dritchie.github.io/pdf/hmc.pdf
Daniel Ritchie, https://dritchie.github.io/
Sharon Lin, http://sharondlin.com
Noah D. Goodman, http://cocolab.stanford.edu/ndg.html
Pat Hanrahan https://graphics.stanford.edu/~hanrahan
pdf https://dritchie.github.io/pdf/hmc.pdf
slides https://dritchie.github.io/slides/hmc.pptx
video https://www.youtube.com/watch?v=Ymtl-w_97sU
code https://github.com/dritchie/graphics-hmc
https://dritchie.github.io/pdf/qs.pdf
Quicksand: A Lightweight Embedding of Probabilistic Programming for Procedural Modeling and Designhttps://dritchie.github.io/pdf/qs.pdf
Daniel Ritchie https://dritchie.github.io/
pdf https://dritchie.github.io/pdf/qs.pdf
slides https://dritchie.github.io/slides/qs.pptx
project page http://dritchie.github.io/quicksand
talk https://www.youtube.com/watch?v=B7b9NEeRIFI&noredirect=1
https://dritchie.github.io/pdf/exotypes.pdf
First-class Runtime Generation of High-performance Types using Exotypeshttps://dritchie.github.io/pdf/exotypes.pdf
Zachary Devito, http://cs.stanford.edu/~zdevito
Daniel Ritchie, https://dritchie.github.io/
Matthew Fisher, https://graphics.stanford.edu/~mdfisher
Pat Hanrahan https://graphics.stanford.edu/~hanrahan
pdf https://dritchie.github.io/pdf/exotypes.pdf
project page http://terralang.org
https://dritchie.github.io/pdf/patterncolor.pdf
Probabilistic Color-by-Numbers: Suggesting Pattern Colorizations Using Factor Graphshttps://dritchie.github.io/pdf/patterncolor.pdf
Sharon Lin, http://sharondlin.com
Daniel Ritchie, https://dritchie.github.io/
Matthew Fisher, https://graphics.stanford.edu/~mdfisher
Pat Hanrahan https://graphics.stanford.edu/~hanrahan
pdf https://dritchie.github.io/pdf/patterncolor.pdf
project page http://graphics.stanford.edu/projects/patternColoring
https://dritchie.github.io/pdf/scenesynth.pdf
Example-based Synthesis of 3D Object Arrangementshttps://dritchie.github.io/pdf/scenesynth.pdf
Matthew Fisher, https://graphics.stanford.edu/~mdfisher
Daniel Ritchie, https://dritchie.github.io/
Manolis Savva, http://msavva.github.io
Thomas Funkhouser, http://www.cs.princeton.edu/~Funkhouser
Pat Hanrahan https://graphics.stanford.edu/~hanrahan
pdf https://dritchie.github.io/pdf/scenesynth.pdf
project page http://graphics.stanford.edu/projects/scenesynth
https://dritchie.github.io/pdf/dtour.pdf
d.tour: Style-based Exploration of Design Example Gallerieshttps://dritchie.github.io/pdf/dtour.pdf
Daniel Ritchie, https://dritchie.github.io/
Ankita Kejriwal, http://web.stanford.edu/~ankitak
Scott R. Klemmer http://d.ucsd.edu/srk
pdf https://dritchie.github.io/pdf/dtour.pdf
video https://www.youtube.com/watch?v=g4ggoccLOyI
https://dritchie.github.io/pdf/dlr.pdf
Dynamic Local Remeshing for Elastoplastic Simulationhttps://dritchie.github.io/pdf/dlr.pdf
Martin Wicke, https://www.linkedin.com/in/martin-wicke-a7b70514
Daniel Ritchie, https://dritchie.github.io/
Bryan M. Klingner, https://www.linkedin.com/in/bryanklingner
Sebastian Burke, https://www.linkedin.com/in/sebastian-burke-2a3a7193
Jonathan R. Shewchuk, https://people.eecs.berkeley.edu/~jrs
James F. O'Brien http://obrien.berkeley.edu
pdf https://dritchie.github.io/pdf/dlr.pdf
video 1 http://graphics.cs.berkeley.edu/papers/Wicke-DLR-2010-07/main-video-final.mov
video 2 http://graphics.cs.berkeley.edu/papers/Wicke-DLR-2010-07/extra-fractures-final.mov
project page http://graphics.cs.berkeley.edu/papers/Wicke-DLR-2010-07
https://dritchie.github.io/pdf/isn.pdf
Interactive Simulation of Surgical Needle Insertion and Steeringhttps://dritchie.github.io/pdf/isn.pdf
Nuttapong Chentanez, http://www.chentanez.info
Ron Alterovitz, https://www.cs.unc.edu/~ron
Daniel Ritchie, https://dritchie.github.io/
Lita Cho, https://www.linkedin.com/in/lita-cho-511b033
Kris Hauser, http://people.duke.edu/~kh269
Ken Goldberg, http://goldberg.berkeley.edu
Jonathan R. Shewchuk, https://people.eecs.berkeley.edu/~jrs
James F. O'Brien http://obrien.berkeley.edu
pdf https://dritchie.github.io/pdf/isn.pdf
video 1 http://graphics.cs.berkeley.edu/papers/Chentanez-ISN-2009-08/Chentanez2009-ISN-lowres.mov
project page http://graphics.cs.berkeley.edu/papers/Chentanez-ISN-2009-08

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