Fangyin Weifangyinw (at) nvidia (dot) com I am a research scientist in the Deep Imagination Research Group at NVIDIA. My research lies at the intersection of computer vision, computer graphics, and machine learning. I am currently interested in combining generative AI and physical simulation. Previously, I was more focused on 3D modeling, synthesis, and editing through the lens of machine learning. I received my Ph.D. at Princeton University, where I was co-advised by Szymon Rusinkiewicz and Thomas Funkhouser. Prior to joining Princeton, I got my Bachelor's in Computer Science and Economy from Peking University. I was a research intern at Meta Reality Labs, Uber ATG R&D, Google Research, Microsoft Research Asia, and Stanford University.
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Cosmos World Foundation Model Platform for Physical AINVIDIA: Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixe, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Lin Yen-Chen, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur ZolkowskiarXiv, 2025 |
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Edify 3D: Scalable High-Quality 3D Asset GenerationNVIDIA: Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Huffman, Jingyi Jin, J.P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, Qinsheng ZhangarXiv, 2024 |
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Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion ModelsNVIDIA: Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng ZhangarXiv, 2024 |
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VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface ReconstructionHanlin Chen, Fangyin Wei, Chen Li, Tianxin Huang, Yunsong Wang, Gim Hee LeeConference on Neural Information Processing Systems (NeurIPS), 2024 |
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4D-Rotor Gaussian Splatting: Towards Efficient Novel-View Synthesis for Dynamic ScenesYuanxing Duan*, Fangyin Wei*, Qiyu Dai, Yuhang He, Wenzheng Chen, Baoquan ChenProc. SIGGRAPH, 2024 |
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Clutter Detection and Removal in 3D Scenes with View-Consistent InpaintingFangyin Wei, Thomas Funkhouser, Szymon RusinkiewiczInternational Conference on Computer Vision (ICCV), 2023 |
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Uni-3D: A Universal Model for Panoptic 3D Scene ReconstructionXiang Zhang*, Zeyuan Chen*, Fangyin Wei, Zhuowen TuInternational Conference on Computer Vision (ICCV), 2023 |
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Self-supervised Neural Articulated Shape and Appearance ModelsFangyin Wei,
Rohan Chabra,
Lingni Ma,
Christoph Lassner,
Michael Zollhöfer,
Computer Vision and Pattern Recognition (CVPR), 2022
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Learning to Infer Semantic Parameters for 3D Shape EditingFangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, Thomas FunkhouserInternational Conference on 3D Vision (3DV), 2020 |
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Learned Feature Embeddings for Non-Line-of-Sight Imaging and RecognitionWenzheng Chen*, Fangyin Wei*, Kyros Kutulakos, Szymon Rusinkiewicz, Felix HeideACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2020 |
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Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler RadarNicolas Scheiner*, Florian Kraus*, Fangyin Wei*, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix HeideComputer Vision and Pattern Recognition (CVPR), 2020 |
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ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decompositionZhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao ZhangNeural Networks 110: 104-115, 2019 |
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Integral Human Pose RegressionXiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, Yichen WeiEuropean Conference of Computer Vision (ECCV), 2018 |
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Exploring Disentangled Feature Representation Beyond Face IdentificationYu Liu*, Fangyin Wei*, Jing Shao*, Lu Sheng, Junjie Yan, Xiaogang WangComputer Vision and Pattern Recognition (CVPR), 2018 |
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Recurrent Scale Approximation for Object Detection in CNNYu Liu, Hongyang Li , Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou TangInternational Conference of Computer Vision (ICCV), 2017 |
Teaching Assistant
Princeton University COS 526: Neural Rendering, Spring 2023
Princeton University COS 302: Mathematics for Numerical Computing and Machine Learning, Fall 2020
Princeton University COS 302: Mathematics for Numerical Computing and Machine Learning, Spring 2020
Princeton University COS 429: Computer Vision, Fall 2019
Web design stolen from Jon Barron