René's URL Explorer Experiment


Title: Ben Mildenhall

Mail addresses
me@bmild.com

direct link

Domain: bmild.github.io

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authorBen Mildenhall

Links:

World Labs.https://worldlabs.ai/
Google Researchhttps://ai.google/research
UC Berkeleyhttp://eecs.berkely.edu
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
Hertz fellowshiphttp://hertzfoundation.org/
Marc Levoy'shttp://graphics.stanford.edu/~levoy/
Google Researchhttps://research.google.com/
Rodrigo Ortiz-Cayonhttps://github.com/rodrygojose
Abhishek Karhttps://abhishekkar.info/
Fyusionhttps://fyusion.com/
Stanford Universityhttp://cs.stanford.edu
Pixar Researchhttps://graphics.pixar.com/research/
CVhttps://bmild.github.io/data/cv.pdf
Biohttps://bmild.github.io/data/bio.txt
Google Scholarhttps://scholar.google.com/citations?user=NozIDL8AAAAJ&hl=en
Twitterhttps://twitter.com/BenMildenhall
GitHubhttps://github.com/bmild
https://bmild.github.io/img/ben_vive.jpg
https://matthewtancik.com/nerf
Neural Radiance Fieldshttps://matthewtancik.com/nerf
https://jonbarron.info/mipnerf360
mip-NeRF 360https://jonbarron.info/mipnerf360
Zip-NeRFhttps://jonbarron.info/zipnerf
https://dreamfusion3d.github.io/
DreamFusionhttps://dreamfusion3d.github.io/
https://reconfusion.github.io/
ReconFusionhttps://reconfusion.github.io/
NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections https://nerf-casting.github.io/
Dor Verbinhttps://dorverbin.github.io/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Peter Hedmanhttps://phogzone.com/
Benjamin Attalhttps://benattal.github.io/
Richard Szeliskihttps://szeliski.org/RichardSzeliski.htm
Jonathan T. Barronhttps://jonbarron.info/
project pagehttps://nerf-casting.github.io/
arXivhttps://arxiv.org/abs/2405.14871
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering https://benattal.github.io/flash-cache/
Benjamin Attalhttps://benattal.github.io/
Dor Verbinhttps://dorverbin.github.io/
Peter Hedmanhttps://phogzone.com/
Jonathan T. Barronhttps://jonbarron.info/
Matthew O'Toolehttps://www.cs.cmu.edu/~motoole2/
Pratul P. Srinivasanhttps://pratulsrinivasan.github.io/
project pagehttps://benattal.github.io/flash-cache/
arXivhttps://bmild.github.io/TODO
Nuvo: Neural UV Mapping for Unruly 3D Representations https://pratulsrinivasan.github.io/nuvo/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Stephan J. Garbinhttp://stephangarbin.com/
Dor Verbinhttps://dorverbin.github.io/
Jonathan T. Barronhttps://jonbarron.info/
project pagehttps://pratulsrinivasan.github.io/nuvo/
videohttps://www.youtube.com/watch?v=hmJiOSTDQZI
arXivhttp://arxiv.org/abs/2312.05283
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis https://creiser.github.io/binary_opacity_grid/
Christian Reiserhttps://creiser.github.io/
Stephan J. Garbinhttp://stephangarbin.com/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Dor Verbinhttps://dorverbin.github.io/
Richard Szeliskihttps://szeliski.org/RichardSzeliski.htm
Jonathan T. Barronhttps://jonbarron.info/
Peter Hedmanhttps://phogzone.com/
Andreas Geigerhttps://www.cvlibs.net/
project pagehttps://creiser.github.io/binary_opacity_grid/
videohttps://www.youtube.com/watch?v=2TPUmGRg8bM
arXivhttps://arxiv.org/abs/2402.12377
ReconFusion: 3D Reconstruction with Diffusion Priors https://reconfusion.github.io/
Rundi Wu*https://www.cs.columbia.edu/~rundi/
Philipp Henzlerhttps://henzler.github.io/
Keunhong Parkhttps://keunhong.com/
Ruiqi Gaohttps://ruiqigao.github.io/
Daniel Watsonhttps://scholar.google.com/citations?user=_pKKv2QAAAAJ&hl=en/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Dor Verbinhttps://dorverbin.github.io/
Jonathan T. Barronhttps://jonbarron.info/
Ben Poolehttps://poolio.github.io/
Aleksander Holynski*https://holynski.org/
project pagehttps://reconfusion.github.io/
arXivhttps://arxiv.org/abs/
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows https://dorverbin.github.io/eclipse
Dor Verbinhttps://dorverbin.github.io/
Peter Hedmanhttps://phogzone.com/
Jonathan T. Barronhttps://jonbarron.info/
Todd Zicklerhttps://bmild.github.io/Todd Zickler
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
project pagehttps://dorverbin.github.io/eclipse
videohttps://www.youtube.com/watch?v=amQLGyza3EU
arXivhttps://arxiv.org/abs/2305.16321
Generative Powers of Ten https://powers-of-10.github.io/
Xiaojuan Wanghttps://scholar.google.ch/citations?user=v3NXpJAAAAAJ&hl=en
Janne Kontkanenhttps://www.linkedin.com/in/jannekontkanen/
Brian Curlesshttps://homes.cs.washington.edu/~curless/
Steve Seitzhttps://www.smseitz.com/
Ira Kemelmacherhttps://www.irakemelmacher.com/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Dor Verbinhttps://dorverbin.github.io/
Aleksander Holynskihttps://holynski.org/
project pagehttps://reconfusion.github.io/
arXivhttps://arxiv.org/abs/
CamP: Camera Preconditioning for Neural Radiance Fields https://camp-nerf.github.io/
Keunhong Parkhttps://keunhong.com/
Philipp Henzlerhttps://henzler.github.io/
Jonathan T. Barronhttps://jonbarron.info/
Ricardo Martin-Bruallahttp://www.ricardomartinbrualla.com/
project pagehttps://camp-nerf.github.io/
arXivhttps://arxiv.org/abs/2308.10902
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields http://jonbarron.info/zipnerf
Jonathan T. Barronhttps://jonbarron.info/
Dor Verbinhttps://dorverbin.github.io/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Peter Hedmanhttps://phogzone.com/
project pagehttp://jonbarron.info/zipnerf
videohttps://www.youtube.com/watch?v=xrrhynRzC8k
arXivhttps://arxiv.org/abs/2304.06706
DreamBooth3D: Subject-Driven Text-to-3D Generation https://dreambooth3d.github.io/
Amit Rajhttps://amitraj93.github.io/
Srinivas Kazahttps://www.linkedin.com/in/srinivas-kaza-64223b74
Ben Poolehttps://poolio.github.io/
Michael Niemeyerhttps://m-niemeyer.github.io/
Nataniel Ruizhttps://natanielruiz.github.io/
Shiran Zadahttps://scholar.google.com/citations?user=I2qheksAAAAJ
Kfir Abermanhttps://kfiraberman.github.io/
Michael Rubinsteinhttp://people.csail.mit.edu/mrub/
Jonathan T. Barronhttps://jonbarron.info/
Yuanzhen Lihttp://people.csail.mit.edu/yzli/
Varun Jampanihttps://varunjampani.github.io/
project pagehttps://dreambooth3d.github.io/
arXivhttps://arxiv.org/abs/2303.13508
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis https://bakedsdf.github.io/
Lior Yariv*https://lioryariv.github.io/
Peter Hedman*https://phogzone.com/
Christian Reiserhttps://creiser.github.io/
Dor Verbinhttps://dorverbin.github.io/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Richard Szeliskihttps://szeliski.org/RichardSzeliski.htm
Jonathan T. Barronhttps://jonbarron.info/
project pagehttps://bakedsdf.github.io/
videohttps://www.youtube.com/watch?v=fThKXZ6uDTk
arXivhttps://arxiv.org/abs/2302.14859
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes https://merf42.github.io/
Christian Reiserhttps://creiser.github.io/
Richard Szeliskihttps://szeliski.org/RichardSzeliski.htm
Dor Verbinhttps://dorverbin.github.io/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Andreas Geigerhttps://www.cvlibs.net/
Jonathan T. Barronhttps://jonbarron.info/
Peter Hedmanhttps://phogzone.com/
project pagehttps://merf42.github.io/
videohttps://www.youtube.com/watch?v=3EACM2JAcxc
arXivhttps://arxiv.org/abs/2302.12249
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training https://yifanjiang19.github.io/alignerf
Yifan Jianghttps://yifanjiang.net/
Peter Hedmanhttps://phogzone.com/
Dejia Xuhttps://ir1d.github.io/
Jonathan T. Barronhttps://jonbarron.info/
Zhangyang Wanghttps://spark.adobe.com/page/CAdrFMJ9QeI2y/
Tianfan Xuehttps://tianfan.info/
project pagehttps://yifanjiang19.github.io/alignerf
arXivhttps://arxiv.org/abs/2211.09682
DreamFusion: Text-to-3D using 2D Diffusion https://dreamfusion3d.github.io/
Ben Poolehttps://cs.stanford.edu/~poole/
Ajay Jainhttps://www.ajayj.com/
Jonathan T. Barronhttps://jonbarron.info/
project pagehttps://dreamfusion3d.github.io/
arXivhttps://arxiv.org/abs/2209.14988
galleryhttps://dreamfusion3d.github.io/gallery.html
Fast and High-quality Image Denoising via Malleable Convolutions https://yifanjiang.net/MalleConv.html
Yifan Jianghttps://yifanjiang.net/
Bartlomiej Wronskihttps://bartwronski.com/
Jonathan T. Barronhttps://jonbarron.info/
Zhangyang Wanghttps://spark.adobe.com/page/CAdrFMJ9QeI2y/
Tianfan Xuehttps://people.csail.mit.edu/tfxue/
project pagehttps://yifanjiang.net/MalleConv.html
arXivhttps://arxiv.org/abs/2201.00392
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images https://bmild.github.io/rawnerf/index.html
Peter Hedmanhttps://phogzone.com/
Ricardo Martin-Bruallahttp://www.ricardomartinbrualla.com/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Jonathan Barronhttps://jonbarron.info/
project pagehttps://bmild.github.io/rawnerf/index.html
arXivhttps://arxiv.org/abs/2111.13679
videohttps://www.youtube.com/watch?v=JtBS4KBcKVc
codehttps://github.com/google-research/multinerf
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields http://jonbarron.info/mipnerf360
Jonathan T. Barronhttps://jonbarron.info/
Dor Verbinhttps://dorverbin.github.io/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Peter Hedmanhttps://phogzone.com/
project pagehttp://jonbarron.info/mipnerf360
arXivhttps://arxiv.org/abs/2111.12077
videohttps://youtu.be/YStDS2-Ln1s
codehttps://github.com/google-research/multinerf
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields https://dorverbin.github.io/refnerf/index.html
Dor Verbinhttps://dorverbin.github.io/
Peter Hedmanhttps://phogzone.com/
Todd Zicklerhttps://bmild.github.io/Todd Zickler
Jonathan T. Barronhttps://jonbarron.info/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
project pagehttps://dorverbin.github.io/refnerf/index.html
arXivhttps://arxiv.org/abs/2112.03907
videohttps://youtu.be/qrdRH9irAlk
codehttps://github.com/google-research/multinerf
Block-NeRF: Scalable Large Scene Neural View Synthesis https://waymo.com/research/block-nerf/
Matthew Tancikhttp://matthewtancik.com/
Vincent Casserhttp://casser.io/
Xinchen Yanhttps://sites.google.com/site/skywalkeryxc/
Sabeek Pradhanhttps://scholar.google.com/citations?user=5mJUkI4AAAAJ&hl=en
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Jonathan T. Barronhttps://jonbarron.info/
Henrik Kretzschmarhttps://www.henrikkretzschmar.com/
project pagehttps://waymo.com/research/block-nerf/
arXivhttps://arxiv.org/abs/2202.05263
videohttps://www.youtube.com/watch?v=6lGMCAzBzOQ
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs https://m-niemeyer.github.io/regnerf/index.html
Michael Niemeyerhttps://m-niemeyer.github.io/
Jonathan T. Barronhttps://jonbarron.info/
Mehdi S. M. Sajjadihttps://msmsajjadi.github.io/
Andreas Geigerhttp://www.cvlibs.net/
Noha Radwanhttp://www2.informatik.uni-freiburg.de/~radwann/
project pagehttps://m-niemeyer.github.io/regnerf/index.html
arXivhttps://arxiv.org/abs/2112.00724
videohttps://www.youtube.com/watch?v=QyyyvA4-Kwc
Zero-Shot Text-Guided Object Generation with Dream Fields https://ajayj.com/dreamfields
Ajay Jainhttps://www.ajayj.com/
Jonathan T. Barronhttps://jonbarron.info/
Pieter Abbeelhttps://people.eecs.berkeley.edu/~pabbeel/
Ben Poolehttps://cs.stanford.edu/~poole/
project pagehttps://ajayj.com/dreamfields
arXivhttps://arxiv.org/abs/2112.01455
videohttps://www.youtube.com/watch?v=1Fke6w46tv4
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views https://arxiv.org/abs/2112.03288
Barbara Roesslehttps://niessnerlab.org/members/barbara_roessle/profile.html
Jonathan T. Barronhttps://jonbarron.info/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Matthias Nießnerhttps://www.niessnerlab.org/
arXivhttps://arxiv.org/abs/2112.03288
videohttps://www.youtube.com/watch?v=zzkvvdcvksc
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields http://jonbarron.info/mipnerf
Jonathan T. Barronhttps://jonbarron.info/
Matthew Tancikhttp://matthewtancik.com/
Peter Hedmanhttps://phogzone.com/
Ricardo Martin-Bruallahttp://www.ricardomartinbrualla.com/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
project pagehttp://jonbarron.info/mipnerf
arXivhttps://arxiv.org/abs/2103.13415
videohttps://www.youtube.com/watch?v=EpH175PY1A0
codehttps://github.com/google/mipnerf
Baking Neural Radiance Fields for Real-Time View Synthesis http://nerf.live
Peter Hedmanhttps://phogzone.com/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Jonathan T. Barronhttps://jonbarron.info/
Paul Debevechttps://www.pauldebevec.com/
project pagehttp://nerf.live
arXivhttps://arxiv.org/abs/2103.14645
videohttps://www.youtube.com/watch?v=5jKry8n5YO8
demohttps://nerf.live/#demos
Learned Initializations for Optimizing Coordinate-Based Neural Representations http://www.matthewtancik.com/learnit
Matthew Tancik*http://matthewtancik.com/
Terrance Wanghttps://www.linkedin.com/in/terrance-wang/
Divi Schmidthttps://www.linkedin.com/in/divi-schmidt-262044180/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Jonathan T. Barronhttps://jonbarron.info/
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
project pagehttp://www.matthewtancik.com/learnit
arXivhttp://arxiv.org/abs/2012.02189
videohttps://www.youtube.com/watch?v=A-r9itCzcyo
codehttps://github.com/tancik/learnit
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis https://pratulsrinivasan.github.io/nerv/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Boyang Denghttps://boyangdeng.com/
Xiuming Zhanghttps://people.csail.mit.edu/xiuming/
Matthew Tancikhttp://matthewtancik.com/
Jonathan T. Barronhttps://jonbarron.info/
project pagehttps://pratulsrinivasan.github.io/nerv/
arXivhttps://arxiv.org/abs/2012.03927
videohttps://www.youtube.com/watch?v=4XyDdvhhjVo
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains https://bmild.github.io/fourfeat/index.html
Matthew Tancik*http://matthewtancik.com/
Pratul Srinivasan*https://pratulsrinivasan.github.io/
Sara Fridovich-Keilhttps://people.eecs.berkeley.edu/~sfk/
Nithin Raghavanhttps://www.csua.berkeley.edu/~rnithin/
Utkarsh Singhalhttps://scholar.google.com/citations?user=lvA86MYAAAAJ&hl=en
Ravi Ramamoorthihttp://cseweb.ucsd.edu/~ravir/
Jonathan T. Barronhttps://jonbarron.info/
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
project pagehttps://bmild.github.io/fourfeat/index.html
arXivhttps://arxiv.org/abs/2006.10739
codehttps://github.com/tancik/fourier-feature-networks
Neural Reflectance Fields for Appearance Acquisition https://arxiv.org/abs/2008.03824
Sai Bi*http://cseweb.ucsd.edu/~bisai/
Zexiang Xu*https://cseweb.ucsd.edu/~zex014/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Kalyan Sunkavallihttp://www.kalyans.org/
Milos Hasanhttp://www.miloshasan.net/
Yannick Hold-Geoffroyhttp://yannickhold.com/
David Kriegmanhttps://cseweb.ucsd.edu/~kriegman/
Ravi Ramamoorthihttps://cseweb.ucsd.edu/~ravir/
arXivhttps://arxiv.org/abs/2008.03824
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis http://www.matthewtancik.com/nerf
Pratul Srinivasan*https://pratulsrinivasan.github.io/
Matthew Tancik*http://matthewtancik.com/
Jonathan T. Barronhttps://jonbarron.info/
Ravi Ramamoorthihttp://cseweb.ucsd.edu/~ravir/
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
project pagehttp://www.matthewtancik.com/nerf
arXivhttps://arxiv.org/abs/2003.08934
videohttps://www.youtube.com/watch?v=JuH79E8rdKc
talkhttps://www.youtube.com/watch?v=LRAqeM8EjOo
codehttps://github.com/bmild/nerf
two minute papershttps://www.youtube.com/watch?v=nCpGStnayHk
papers with codehttps://paperswithcode.com/method/nerf
wiredhttps://www.wired.com/story/new-way-ai-see-3d/
Deep Multi Depth Panoramas for View Synthesis https://arxiv.org/abs/2008.01815
Kai-En Linhttps://www.linkedin.com/in/kaienlin2576/
Zexiang Xuhttps://cseweb.ucsd.edu/~zex014/
Pratul Srinivasanhttps://pratulsrinivasan.github.io/
Yannick Hold-Geoffroyhttp://yannickhold.com/
Stephen DiVerdihttp://www.stephendiverdi.com/
Qi Sunhttps://qisun.me/
Kalyan Sunkavallihttp://www.kalyans.org/
Ravi Ramamoorthihttps://cseweb.ucsd.edu/~ravir/
arXivhttps://arxiv.org/abs/2008.01815
videohttps://cseweb.ucsd.edu/~zex014/papers/2020_mdp/2020_mdp.mp4
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination https://pratulsrinivasan.github.io/lighthouse/
Pratul Srinivasan*https://pratulsrinivasan.github.io/
Matthew Tancikhttp://matthewtancik.com/
Jonathan T. Barronhttps://jonbarron.info/
Richard Tuckerhttps://research.google/people/RichardTucker/
Noah Snavelyhttps://www.cs.cornell.edu/~snavely/
project pagehttps://pratulsrinivasan.github.io/lighthouse/
arXivhttps://arxiv.org/abs/2003.08367
videohttps://www.youtube.com/watch?v=KsiZpUFPqIU
codehttps://github.com/pratulsrinivasan/lighthouse
StegaStamp: Invisible Hyperlinks in Physical Photographs http://www.matthewtancik.com/stegastamp
Matthew Tancik*http://matthewtancik.com/
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
project pagehttp://www.matthewtancik.com/stegastamp
arXivhttps://arxiv.org/abs/1904.05343
videohttps://www.youtube.com/watch?v=E8OqgNDBGO0
codehttps://github.com/tancik/StegaStamp
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines https://bmild.github.io/llff/index.html
Pratul Srinivasan*https://pratulsrinivasan.github.io/
Rodrigo Ortiz-Cayonhttps://scholar.google.com/citations?user=yZMAlU4AAAAJ
Nima Khademi Kalantarihttp://faculty.cs.tamu.edu/nimak/
Ravi Ramamoorthihttp://cseweb.ucsd.edu/~ravir/
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
Abhishek Karhttps://abhishekkar.info/
project pagehttps://bmild.github.io/llff/index.html
arXivhttps://arxiv.org/abs/1905.00889
videohttps://www.youtube.com/watch?v=LY6MgDUzS3M
codehttps://github.com/Fyusion/LLFF
Unprocessing Images for Learned Raw Denoising http://timothybrooks.com/tech/unprocessing/
Tim Brookshttp://timothybrooks.com/
Tianfan Xuehttps://people.csail.mit.edu/tfxue/
Jiawen Chenhttp://people.csail.mit.edu/jiawen/
Dillon Sharlethttp://www.dsharlet.com/
Jonathan T. Barronhttps://jonbarron.info/
project pagehttp://timothybrooks.com/tech/unprocessing/
arXivhttps://arxiv.org/abs/1811.11127
Burst Denoising with Kernel Prediction Networkshttps://bmild.github.io/kpn/index.html
Jonathan T. Barronhttp://jonbarron.info
Jiawen Chenhttp://people.csail.mit.edu/jiawen/
Dillon Sharlethttp://www.dsharlet.com/
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
Robert Carrollhttps://scholar.google.com/citations?user=jCsry6sAAAAJ&hl=en
project pagehttps://bmild.github.io/kpn/index.html
arXivhttps://arxiv.org/abs/1712.02327
codehttps://github.com/google/burst-denoising
DiffuserCam: Lensless Single-exposure 3D Imaging https://waller-lab.github.io/DiffuserCam/
Nick Antipahttps://people.eecs.berkeley.edu/~nick.antipa/
Grace Kuohttps://people.eecs.berkeley.edu/~gkuo/
Reinhard Heckelhttp://www.reinhardheckel.com/
Emrah Bostanhttps://emrahbostan.com/
Ren Nghttps://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html
Laura Wallerhttp://www.laurawaller.com/
project pagehttps://waller-lab.github.io/DiffuserCam/
arXivhttps://arxiv.org/abs/1710.02134
Approximations for the distribution of microflake normals https://bmild.github.io/data/microflake.pdf
Nelson Maxhttps://faculty.engineering.ucdavis.edu/max/
Tom Duffhttp://www.iq0.com/
Yajie Yanhttp://students.cec.wustl.edu/~yajieyan/
Controlling Procedural Modeling Programs with Stochastically-Ordered Sequential Monte Carlo https://dritchie.github.io/pdf/sosmc.pdf
Daniel Ritchiehttps://dritchie.github.io/
Noah D. Goodmanhttp://cocolab.stanford.edu/ndg.html
Pat Hanrahanhttps://graphics.stanford.edu/~hanrahan
https://bmild.github.io/img/objtest20.png
Extending the PBRT Renderer to Support Volumetric Light Sources https://bmild.github.io/data/cs348bproject.pdf
CS384B rendering competitionhttps://graphics.stanford.edu/courses/cs348b-competition/
Ray Tracer https://bmild.github.io/cs148_raytracer/index.html
CS184 - Summer 2020 (Co-instructor) https://cs184.eecs.berkeley.edu/su20
CS184 - Spring 2017 (GSI) https://cs184.eecs.berkeley.edu/sp17
CS184 - Spring 2016 (GSI) https://cs184.eecs.berkeley.edu/sp16
Rachmaninoff - Etude-Tableau Op. 39 No. 5 https://youtu.be/E_DZWgu8Ric
Rachmaninoff - Rhapsody on a Theme of Paganini https://youtu.be/AhQGooKtr4w
Brahms - Piano Quintet https://www.youtube.com/watch?v=0PSZMvJwYEc&list=PLea0bjZsDqxuRL0lCcLZ5oTEu4EVITAmf&index=2
Jon Barronhttps://jonbarron.info

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