• Yating Tian, Hongwen Zhang, Yebin Liu, Limin Wang
  Recovering 3D Human Mesh from Monocular Images: A Survey
  arXiv:2203.01923, 2022 Survey Paper
  [ Project Page ] [ Paper ]
• Hongwen Zhang, Yating Tian, Yuxiang Zhang, Mengcheng Li, Liang An, Zhenan Sun, Yebin Liu
  PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
  arXiv:2207.06400, 2022
  **an eXpressive extension of PyMAF, supporting SMPL-X**
  [ Project Page ] [ Video ] [ Paper ] [Code]

2022
• Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
  DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
  European Conference on Computer Vision (ECCV), 2022 ☆ Oral Paper
  [ Project Page ] [ Paper ] [ Code ]
• Siyou Lin, Hongwen Zhang, Zerong Zheng, Ruizhi Shao, Yebin Liu
  Learning Implicit Templates for Point-Based Clothed Human Modeling
  European Conference on Computer Vision (ECCV), 2022
  [ Project Page ] [ Paper ] [ Code ]
• Zhe Li, Zerong Zheng, Hongwen Zhang, Chaonan Ji, Yebin Liu
  AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture
  European Conference on Computer Vision (ECCV), 2022
  [ Project Page ] [ Paper ] [ Code ]
• Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, Yebin Liu
  Interacting Attention Graph for Single Image Two-Hand Reconstruction
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 ☆ Oral Paper
  [ Project Page ] [ Paper ] [ Code ]
• Ruizhi Shao, Hongwen Zhang, He Zhang, Mingjia Chen, Yanpei Cao, Tao Yu, Yebin Liu
  DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Rendering
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  [ Project Page ] [ Paper ] [ Code ]
• Zerong Zheng, Han Huang, Tao Yu, Hongwen Zhang, Yandong Guo, Yebin Liu
  Structured Local Radiance Fields for Human Avatar Modeling
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  [ Project Page ] [ Paper ] [ Code ]
2021
• Hongwen Zhang*, Yating Tian*, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, Zhenan Sun
  PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
  IEEE International Conference on Computer Vision (ICCV), 2021 ☆ Oral Paper
  [ Project Page ] [ Paper ] [ Code ] [ Video ]
• Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang
  Evolving Search Space for Neural Architecture Search
  IEEE International Conference on Computer Vision (ICCV), 2021
  [ Paper ] [ Code ]
2020
• Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, Zhenan Sun
  Learning 3D Human Shape and Pose from Dense Body Parts
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
  **DensePose to SMPL; part-based regressor; more robust to occlusion**
  [ Project Page ] [ Paper ] [ Code ]
• Dongzhan Zhou*, Xinchi Zhou*, Hongwen Zhang, Shuai Yi, Wanli Ouyang
  Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
  European Conference on Computer Vision (ECCV), 2020
  [ Paper ]
• Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang
  Rethinking Pseudo-LiDAR Representation
  European Conference on Computer Vision (ECCV), 2020
  [ Paper ]
• Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang
  Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 ☆ Oral Paper
  [ Paper ] [ Code ] [ Video ]
• Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun
  Towards High Fidelity Face Frontalization in the Wild
  International Journal of Computer Vision (IJCV), 2020
  [ Paper ]
Before 2020
• Hongwen Zhang et al., DaNet: Decompose-and-aggregate Network for 3D Human Shape and Pose Estimation
  ACM International Conference on Multimedia (MM), 2019
  **part-based method for human mesh recovery**
  [ Paper ] [ Code ]
• Hongwen Zhang et al., Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild
  IEEE Transactions on Image Processing (TIP), 2019
  [ Paper ] [ Code ]
• Jie Cao et al., Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
  Advances in Neural Information Processing Systems (NeurIPS), 2018
  [ Paper ]
• Hongwen Zhang et al., Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization
  International Conference on Pattern Recognition (ICPR), 2018
  [ Paper ] [ Code ]
• Hongwen Zhang et al., Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection
  IEEE Transactions on Information Forensics and Security (TIFS), 2018
  [ Paper ] [ Code ]