Yi Zhou

43 papers A* 12Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation.
CoRR
Chengan He, Jorge Alejandro Amador Herrera, Zhixin Shu, Xin Sun, Yao Feng, Sören Pirk, Dominik L. Michels, Meng Zhang, Tuanfeng Y. Wang, Julie Dorsey, Holly E. Rushmeier, Yi Zhou
2025 J jnl
MeshSplatting: Differentiable Rendering with Opaque Meshes.
CoRR
Jan Held, Sanghyun Son, Renaud Vandeghen, Daniel Rebain, Matheus Gadelha, Yi Zhou, Anthony Cioppa, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2025 A* conf
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling.
ICLR
Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sören Pirk, Jorge Alejandro Amador Herrera, Dominik Ludewig Michels, Tuanfeng Yang Wang, Meng Zhang, Holly E. Rushmeier, Yi Zhou
2025 — conf
StreamME: Simplify 3D Gaussian Avatar within Live Stream.
SIGGRAPH (Conference Paper Track)
Luchuan Song, Yang Zhou, Zhan Xu, Yi Zhou, Deepali Aneja, Chenliang Xu
2025 J jnl
Triangle Splatting+: Differentiable Rendering with Opaque Triangles.
CoRR
Jan Held, Renaud Vandeghen, Sanghyun Son, Daniel Rebain, Matheus Gadelha, Yi Zhou, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2024 J jnl
Augmented Mass-Spring model for Real-Time Dense Hair Simulation.
CoRR
Jorge Alejandro Amador Herrera, Yi Zhou, Xin Sun, Zhixin Shu, Chengan He, Sören Pirk, Dominik L. Michels
2024 A* conf
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning.
CVPR
Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu, Yi Zhou, Sai Bi, Sören Pirk, Arie E. Kaufman
2024 J jnl
DMesh++: An Efficient Differentiable Mesh for Complex Shapes.
CoRR
Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou
2024 A* conf
DMesh: A Differentiable Mesh Representation.
NeurIPS
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
2024 J jnl
DMesh: A Differentiable Representation for General Meshes.
CoRR
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
2024 J jnl
FaceLift: Single Image to 3D Head with View Generation and GS-LRM.
CoRR
Weijie Lyu, Yi Zhou, Ming-Hsuan Yang, Zhixin Shu
2024 — conf
GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency.
3DV
Omid Taheri, Yi Zhou, Dimitrios Tzionas, Yang Zhou, Duygu Ceylan, Sören Pirk, Michael J. Black
2024 A* conf
LRM-Zero: Training Large Reconstruction Models with Synthesized Data.
NeurIPS
Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie E. Kaufman, Xin Sun, Hao Tan
2024 J jnl
LRM-Zero: Training Large Reconstruction Models with Synthesized Data.
CoRR
Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie E. Kaufman, Xin Sun, Hao Tan
2024 J jnl
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling.
CoRR
Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sören Pirk, Jorge Alejandro Amador Herrera, Dominik L. Michels, Tuanfeng Y. Wang, Meng Zhang, Holly E. Rushmeier, Yi Zhou
2023 J jnl
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning.
CoRR
Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu, Yi Zhou, Sai Bi, Sören Pirk, Arie E. Kaufman
2023 J jnl
Fast Complementary Dynamics via Skinning Eigenmodes.
CoRR
Otman Benchekroun, Jiayi Eris Zhang, Siddhartha Chaudhuri, Eitan Grinspun, Yi Zhou, Alec Jacobson
2023 J jnl
Fast Complementary Dynamics via Skinning Eigenmodes.
ACM Trans. Graph.
Otman Benchekroun, Jiayi Eris Zhang, Siddartha Chaudhuri, Eitan Grinspun, Yi Zhou, Alec Jacobson
2023 J jnl
GRIP: Generating Interaction Poses Using Latent Consistency and Spatial Cues.
CoRR
Omid Taheri, Yi Zhou, Dimitrios Tzionas, Yang Zhou, Duygu Ceylan, Sören Pirk, Michael J. Black
2023 A* conf
Normal-guided Garment UV Prediction for Human Re-texturing.
CVPR
Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan, Jimei Yang, Nathan Carr, Yi Zhou, Hyun Soo Park
2023 J jnl
Normal-guided Garment UV Prediction for Human Re-texturing.
CoRR
Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan, Jimei Yang, Nathan Carr, Yi Zhou, Hyun Soo Park
2022 — conf
A Repulsive Force Unit for Garment Collision Handling in Neural Networks.
ECCV (3)
Qingyang Tan, Yi Zhou, Tuanfeng Y. Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha
2022 J jnl
A Repulsive Force Unit for Garment Collision Handling in Neural Networks.
CoRR
Qingyang Tan, Yi Zhou, Tuanfeng Y. Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha
2022 — conf
Learning Visibility for Robust Dense Human Body Estimation.
ECCV (1)
Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang
2022 J jnl
Learning Visibility for Robust Dense Human Body Estimation.
CoRR
Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang
2022 A* conf
NeMF: Neural Motion Fields for Kinematic Animation.
NeurIPS
Chengan He, Jun Saito, James Zachary, Holly E. Rushmeier, Yi Zhou
2022 J jnl
NeMF: Neural Motion Fields for Kinematic Animation.
CoRR
Chengan He, Jun Saito, James Zachary, Holly E. Rushmeier, Yi Zhou
2021 A* conf
A Deep Emulator for Secondary Motion of 3D Characters.
CVPR
Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic
2021 J jnl
A Deep Emulator for Secondary Motion of 3D Characters.
CoRR
Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic
2021 A* conf
Stochastic Scene-Aware Motion Prediction.
ICCV
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael J. Black
2021 J jnl
Stochastic Scene-Aware Motion Prediction.
CoRR
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael J. Black
2020 A* conf
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels.
NeurIPS
Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye, Jason M. Saragih, Hao Li, Yaser Sheikh
2020 J jnl
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels.
CoRR
Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye, Jason M. Saragih, Hao Li, Yaser Sheikh
2020 J jnl
Generative Tweening: Long-term Inbetweening of 3D Human Motions.
CoRR
Yi Zhou, Jingwan Lu, Connelly Barnes, Jimei Yang, Sitao Xiang, Hao Li
2020 J jnl
Learning to Generate Diverse Dance Motions with Transformer.
CoRR
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li
2019 A* conf
On the Continuity of Rotation Representations in Neural Networks.
CVPR
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li
2018 — conf
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis.
ICLR (Poster)
Yi Zhou, Zimo Li, Shuangjiu Xiao, Chong He, Zeng Huang, Hao Li
2018 — conf
HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks.
ECCV (11)
Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong, Hao Li
2018 J jnl
On the Continuity of Rotation Representations in Neural Networks.
CoRR
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li
2018 J jnl
Single-View Hair Reconstruction using Convolutional Neural Networks.
CoRR
Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong, Hao Li
2017 J jnl
Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis.
CoRR
Zimo Li, Yi Zhou, Shuangjiu Xiao, Chong He, Hao Li
2017 A* conf
Realistic Dynamic Facial Textures from a Single Image Using GANs.
ICCV
Kyle Olszewski, Zimo Li, Chao Yang, Yi Zhou, Ronald Yu, Zeng Huang, Sitao Xiang, Shunsuke Saito, Pushmeet Kohli, Hao Li
2016 A* conf
Pmomo: Projection Mapping on Movable 3D Object.
CHI
Yi Zhou, Shuangjiu Xiao, Ning Tang, Zhiyong Wei, Xu Chen