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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@article{nvidia2024edify3d, title={Edify 3D: Scalable High-Quality 3D Asset Generation}, author={NVIDIA and Bala, Maciej and Cui, Yin and Ding, Yifan and Ge, Yunhao and Hao, Zekun and Hasselgren, Jon and Huffman, Jacob and Jin, Jingyi and Lewis, J.P. and Li, Zhaoshuo and Lin, Chen-Hsuan and Lin, Yen-Chen and Lin, Tsung-Yi and Liu, Ming-Yu and Luo, Alice and Ma, Qianli and Munkberg, Jacob and Shi, Stella and Wei, Fangyin and Xiang, Donglai and Xu, Jiashu and Zeng, Xiaohui and Zhang, Qinsheng}, journal={arXiv preprint arXiv:2411.07135}, year={2024} } |
@article{nvidia2024edifyimage, title = {Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models}, author = {NVIDIA and Yuval Atzmon and Maciej Bala and Yogesh Balaji and Tiffany Cai and Yin Cui and Jiaojiao Fan and Yunhao Ge and Siddharth Gururani and Jacob Huffman and Ronald Isaac and Pooya Jannaty and Tero Karras and Grace Lam and J. P. Lewis and Aaron Licata and Yen-Chen Lin and Ming-Yu Liu and Qianli Ma and Arun Mallya and Ashlee Martino-Tarr and Doug Mendez and Seungjun Nah and Chris Pruett and Fitsum Reda and Jiaming Song and Ting-Chun Wang and Fangyin Wei and Xiaohui Zeng and Yu Zeng and Qinsheng Zhang}, journal = {arXiv preprint arXiv:2411.07126}, year = {2024}, url = {https://arxiv.org/abs/2411.07126} } |
@inproceedings{chen:2024:vcrgaus, author = "Hanlin Chen and Fangyin Wei and Chen Li and Tianxing Huang and Yunsong Wang and Gim Hee Lee", title = "VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction", booktitle = "Advances in Neural Information Processing Systems", year = "2024" } |
@inproceedings{duan:2024:4drotorgs, author = "Yuanxing Duan and Fangyin Wei and Qiyu Dai and Yuhang He and Wenzheng Chen and Baoquan Chen", title = "4D-Rotor Gaussian Splatting: Towards Efficient Novel-View Synthesis for Dynamic Scenes", booktitle = "Proc. SIGGRAPH", year = "2024", month = July } |
@inproceedings{Wei:2023:CDA, author = "Fangyin Wei and Thomas Funkhouser and Szymon Rusinkiewicz", title = "Clutter Detection and Removal in {3D} Scenes with View-Consistent Inpainting", booktitle = "International Conference on Computer Vision (ICCV)", year = "2023", month = oct } |
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Xiang and Chen, Zeyuan and Wei, Fangyin and Tu, Zhuowen}, title = {Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {9256-9266} } |
@inproceedings{wei2022nasam, title = {Self-supervised Neural Articulated Shape and Appearance Models}, author = {Fangyin Wei and Rohan Chabra and Lingni Ma and Christoph Lassner and Michael Zollhoefer and Szymon Rusinkiewicz and Chris Sweeney and Richard Newcombe and Mira Slavcheva}, booktitle = {Proceedings IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022} } |
@inproceedings{Wei:2020:LTI, author = "Fangyin Wei and Elena Sizikova and Avneesh Sud and Szymon Rusinkiewicz and Thomas Funkhouser", title = "Learning to Infer Semantic Parameters for {3D} Shape Editing", booktitle = "International Conference on 3D Vision (3DV)", year = "2020", month = nov } |
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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@article{Chen:NLOS:2020, title = {Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition}, author = {Wenzheng Chen and Fangyin Wei and Kiriakos N. Kutulakos and Szymon Rusinkiewicz and Felix Heide}, year = {2020}, issue_date = {December 2020}, publisher = {Association for Computing Machinery}, volume = {39}, number = {6}, journal = {ACM Transactions on Graphics (Proc. SIGGRAPH Asia)}, } |
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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@InProceedings{scheiner2019seeing, author={Scheiner, Nicolas and Kraus, Florian and Wei, Fangyin and Phan, Buu and Mannan, Fahim and Appenrodt, Nils and Ritter, Werner and Dickmann, J{\"u}rgen and Dietmayer, Klaus and Sick, Bernhard and Heide, Felix}, title={Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2020} } |
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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@article{DBLP:journals/nn/ZhongWLZ19, author = {Zhisheng Zhong and Fangyin Wei and Zhouchen Lin and Chao Zhang}, title = {ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition}, journal = {Neural Networks}, volume = {110}, pages = {104--115}, year = {2019}, url = {https://doi.org/10.1016/j.neunet.2018.10.016}, } |
Integral Human Pose RegressionXiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, Yichen WeiEuropean Conference of Computer Vision (ECCV), 2018   |
Exploring Disentangled Feature Representation Beyond Face IdentificationYu Liu*, Fangyin Wei*, Jing Shao*, Lu Sheng, Junjie Yan, Xiaogang WangComputer Vision and Pattern Recognition (CVPR), 2018   |
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