* Equal contribution
† Corresponding author
LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds (In submission).
Lingteng Qiu, Xiaodong Gu, Peihao Li, Qi Zuo, Weichao Shen, Junfei Zhang, Kejie Qiu, Weihao Yuan, Guanying Chen, Zilong Dong, Liefeng Bo.
LAM: Large Avatar Model for One-shot Animatable Gaussian Head (In submission).
Yisheng He, Xiaodong Gu, Xiaodan Ye, Chao Xu, Zhengyi Zhao, Yuan Dong, Weihao Yuan†, Zilong Dong, Liefeng Bo
MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow (In submission).
Zhe Li, Yisheng He, Lei Zhong, Weichao Shen, Qi Zuo, Lingteng Qiu, Zilong Dong, Laurence Tianruo Yang, Weihao Yuan†.
Motions as Queries: One-Stage Multi-Person Holistic Human Motion Capture (CVPR 2025).
Kenkun Liu*, Yurong Fu*, Weihao Yuan*, Jing Lin, Peihao Li, Xiaodong Gu, Lingteng Qiu, Haoqian Wang, Zilong Dong, Xiaoguang Han.
AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction (CVPR 2025).
Lingteng Qiu, Shenhao Zhu, Qi Zuo, Xiaodong Gu, Yuan Dong, Junfei Zhang, Chao Xu, Zhe Li, Weihao Yuan, Liefeng Bo, Guanying Chen, Zilong Dong.
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning (ICLR 2025).
Zhe Li*, Weihao Yuan*, Yisheng He, Lingteng Qiu, Shenhao Zhu, Xiaodong Gu, Weichao Shen, Yuan Dong, Zilong Dong, Laurence T. Yang.
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images (SIGGRAPH Asia 2024 & TOG).
Xiaoguang Han, Yushuang Wu, Luyue Shi, Haolin Liu, Hongjie Liao, Lingteng Qiu, Weihao Yuan, Xiaodong Gu, Zilong Dong, Shuguang Cui.
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling (NeurIPS 2024).
Weihao Yuan, Weichao Shen, Yisheng He, Yuan Dong, Xiaodong Gu, Zilong Dong, Liefeng Bo, Qixing Huang.
Gaussian-Informed Continuum for Physical Property Identification and Simulation (NeurIPS 2024 Oral).
Junhao Cai*, Yuji Yang*, Weihao Yuan†, Yisheng He, Zilong Dong, Liefeng Bo, Hui Cheng, Qifeng Chen.
Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition (ECCV 2024).
Yisheng He, Weihao Yuan†, Siyu Zhu, Zilong Dong, Liefeng Bo, Qixing Huang.
An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes Using Pre-Trained Text-2-Image Models (ECCV 2024).
Zhengyi Zhao, Chen Song, Xiaodong Gu, Yuan Dong, Qi Zuo, Weihao Yuan, Liefeng Bo, Zilong Dong, Qixing Huang.
High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding (ECCV 2024)
Qi Zuo, Xiaodong Gu, Yuan Dong, Zhengyi Zhao, Weihao Yuan, Lingteng Qiu, Liefeng Bo, Zilong Dong.
OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation (RAL 2024).
Junhao Cai*, Yisheng He*, Weihao Yuan†, Siyu Zhu, Zilong Dong, Liefeng Bo, Qifeng Chen.
IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images (CVPR 2024 Highlight).
Yushuang Wu, Luyue Shi, Junhao Cai, Weihao Yuan‡, Lingteng Qiu, Zilong Dong, Liefeng Bo, Shuguang Cui, Xiaoguang Han.
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D (CVPR 2024 Highlight)
Lingteng Qiu, Guanying Chen, Xiaodong Gu, Qi Zuo, Mutian Xu, Yushuang Wu, Weihao Yuan, Zilong Dong, Liefeng Bo, Xiaoguang Han.
GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors (CVPR 2024 Oral)
Yuan Dong, Qi Zuo, Xiaodong Gu, Weihao Yuan, Zhengyi Zhao, Zilong Dong, Liefeng Bo, Qixing Huang
VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model.
Qi Zuo, Xiaodong Gu, Lingteng Qiu, Yuan Dong, Zhengyi Zhao, Weihao Yuan, Rui Peng, Siyu Zhu, Zilong Dong, Liefeng Bo, Qixing Huang.\
Sketch2NeRF: multi-view sketch-guided text-to-3D generation.
Minglin Chen, Weihao Yuan, Yukun Wang, Zhe Sheng, Yisheng He, Zilong Dong, Liefeng Bo, Yulan Guo
Weihao Yuan, Xiaodong Gu, Heng Li, Zilong Dong, Siyu Zhu, “3D Former: Monocular Scene Reconstruction with 3D SDF Transformers“, International Conference on Learning Representations (ICLR). 2023.
Heng Li, Xiaodong Gu, Weihao Yuan, Luwei Yang, Zilong Dong, Ping Tan, “Dense RGB SLAM with Neural Implicit Maps“, International Conference on Learning Representations (ICLR). 2023.
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, Ping Tan, “NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022.
Xiaodong Gu, Chengzhou Tang, Weihao Yuan, Zuozhuo Dai, Siyu Zhu, Ping Tan, “RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. Oral Presentation.
Xiaodong Gu*, Weihao Yuan*†, Zuozhuo Dai, Chengzhou Tang, Siyu Zhu, Ping Tan, “DRO: Deep Recurrent Optimizer for Structure-from-Motion”. IEEE Robotics and Automation Letters (RA-L). 2023.
Zuozhuo Dai, Guangyuan Wang, Weihao Yuan, Siyu Zhu, Ping Tan, “Cluster Contrast for Unsupervised Person Re-Identification”, Asian Conference on Computer Vision (ACCV). IEEE, 2022.
Weihao Yuan, Yazhan Zhang, Bingkun Wu, Michael Yu Wang, Qifeng Chen, “Stereo Matching by Self-supervision of Multiscopic Vision”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021.
Weihao Yuan, Michael Yu Wang, Qifeng Chen, “Self-supervised Object Tracking with Cycle-consistent Siamese Networks”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2020.
Haoran Song, Joshua A Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A Stork, “Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2020.
Weihao Yuan, Rui Fan, Michael Yu Wang, Qifeng Chen, “MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion”, IEEE International Conference on Robotics and Automation (ICRA), published in IEEE Robotics and Automation Letters (RA-L), 5(2): 3113-3120, 2020.
Yazhan Zhang, Weihao Yuan, Zicheng Kan, Michael Yu Wang, “Toward Learning to Detect and Predict Contact Events on Vision-based Tactile Sensor”, Conference on Robot Learning (CoRL). 2019. Oral presentation.
Weihao Yuan, Kaiyu Hang, Danica Kragic, Michael Yu Wang, Johannes A. Stork, “End-to-End Nonprehensile Rearrangement with Deep Reinforcement Learning and Simulation-to-Reality Transfer”, Robotics and Autonomous Systems (RAS), 119: 119-134, 2019.
Weihao Yuan, Kaiyu Hang, Haoran Song, Danica Kragic, Michael Yu Wang, Johannes A. Stork, “Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation”, in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 2153-2160. IEEE, 2019.
Weihao Yuan, Johannes Andreas Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang, “Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning”, in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 270-277. IEEE, 2018.