René's URL Explorer Experiment


Title: Zhiyuan Ma - Homepage

Open Graph Title: Zhiyuan Ma

Description: Zhiyuan Ma (马致远) is a Ph.D. student at Hong Kong Polytechnic University, researching 3D generation.

Mail addresses
zm2354.ma@connect.polyu.hk
zm2354.ma@connect.polyu.hk

Opengraph URL: https://theericma.github.io/

direct link

Domain: theericma.github.io


Hey, it has json ld scripts:
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Zhiyuan Ma",
  "alternateName": "马致远",
  "url": "https://theericma.github.io/",
  "affiliation": {
    "@type": "Organization",
    "name": "Hong Kong Polytechnic University"
  },
  "sameAs": [
    "https://scholar.google.com/citations?user=F15mLDYAAAAJ",
    "https://github.com/theEricMa",
    "https://linkedin.com/in/zhiyuanma/"
  ]
}

og:localeen
og:site_nameZhiyuan Ma
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msapplication-TileColor#000000
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msapplication-configimages/browserconfig.xml?v=M44lzPylqQ
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citation_authorZhiyuan Ma
citation_author_institutionHong Kong Polytechnic University
citation_titleZhiyuan Ma - Personal Academic Homepage
google-site-verificationA-SigNR0osJYr6Na77nFpo-7K_PAU-7f8DZwXEahCz4

Links:

Homepagehttps://theericma.github.io/#about-me
About Mehttps://theericma.github.io/#about-me
Newshttps://theericma.github.io/#-news
Publicationshttps://theericma.github.io/#-publications
Educationshttps://theericma.github.io/#-educations
Internshipshttps://theericma.github.io/#-internships
LinkedInhttps://www.linkedin.com/in/zhiyuanma/
Githubhttps://github.com/theEricMa
YouTubehttps://www.youtube.com/@zhiyuanma4768
Google Scholarhttps://scholar.google.com/citations?hl=en&view_op=list_works&gmla=AH70aAU86nEXqEwI4fmVp1WjYcb0A1zSw2bq-W0crWZTFbc41MfwsiNFjYsMlgaASBXCgwcNBs5AAawkzh_MrA&user=F15mLDYAAAAJ
https://www.linkedin.com/in/zhiyuanma/
https://github.com/theEricMa
https://www.youtube.com/@zhiyuanma4768
https://scholar.google.com/citations?hl=en&view_op=list_works&gmla=AH70aAU86nEXqEwI4fmVp1WjYcb0A1zSw2bq-W0crWZTFbc41MfwsiNFjYsMlgaASBXCgwcNBs5AAawkzh_MrA&user=F15mLDYAAAAJ
Lei Zhanghttps://www4.comp.polyu.edu.hk/~cslzhang/
Zhen Leihttp://www.cbsr.ia.ac.cn/users/zlei/
Xiangyu Zhuhttps://theericma.github.io/
https://scholar.google.com/citations?user=F15mLDYAAAAJ&hl
Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Datahttps://openaccess.thecvf.com/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf
https://github.com/theEricMa/TriplaneTurbo
HuggingFace Demohttps://huggingface.co/spaces/ZhiyuanthePony/TriplaneTurbo
ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillationhttps://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/01046.pdf
https://github.com/theEricMa/ScaleDreamer
Project Pagehttps://sites.google.com/view/scaledreamer-release/
OTAvatar : One-shot Talking Face Avatar with Controllable Tri-plane Renderinghttps://openaccess.thecvf.com/content/CVPR2023/papers/Ma_OTAvatar_One-Shot_Talking_Face_Avatar_With_Controllable_Tri-Plane_Rendering_CVPR_2023_paper.pdf
https://github.com/theEricMa/OTAvatar
Demo Videohttps://www.youtube.com/watch?v=qpIoMYFr7Aw
Report Recordinghttps://www.youtube.com/watch?v=4Ujd1TBylVE&t=19s
DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformerhttps://arxiv.org/pdf/2402.05712
https://github.com/theEricMa/DiffSpeaker
MVBoost: Boost 3D Reconstruction with Multi-View Refinementhttps://arxiv.org/pdf/2411.17772
https://github.com/Piggy-ch/MVBoost
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approachhttps://arxiv.org/pdf/2412.03017
https://github.com/csslc/PiSA-SR
One-Step Effective Diffusion Network for Real-World Image Super-Resolutionhttps://arxiv.org/pdf/2406.08177
https://github.com/cswry/OSEDiff
Dual memory networks: A versatile adaptation approach for vision-language modelshttps://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_Dual_Memory_Networks_A_Versatile_Adaptation_Approach_for_Vision-Language_Models_CVPR_2024_paper.pdf
https://github.com/YBZh/DMN
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understandinghttps://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06612.pdf
https://github.com/lslrh/DMA

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