| 2026 | AAAI | Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details. | Qiang Bai, Bojian Wu, Xi Yang, Zhizhong Han |
| 2026 | AAAI | VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction. | Peng Xiang, Liang Han, Hui Zhang, Yu-Shen Liu, Zhizhong Han |
| 2026 | SIGGRAPH | VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors. | Jimin Tang, Wenyuan Zhang, Junsheng Zhou, Zian Huang, Kanle Shi, Shenkun Xu, Yu-Shen Liu, Zhizhong Han |
| 2025 | AAAI | Sharpening Neural Implicit Functions with Frequency Consolidation Priors. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2025 | AAAI | Query Quantized Neural SLAM. | Sijia Jiang, Jing Hua, Zhizhong Han |
| 2025 | AAAI | Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions. | Sijia Jiang, Tong Wu, Jing Hua, Zhizhong Han |
| 2025 | CVPR | GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting. | Shujuan Li, Yu-Shen Liu, Zhizhong Han |
| 2025 | CVPR | Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation. | Takeshi Noda, Chao Chen, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han |
| 2025 | CVPR | NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction. | Wenyuan Zhang, Emily Yue-ting Jia, Junsheng Zhou, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2025 | CVPR | MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction. | Wenyuan Zhang, Yixiao Yang, Han Huang, Liang Han, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2025 | ICCV | SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies. | Liang Han, Xu Zhang, Haichuan Song, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2025 | ICML | VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians. | Pengchong Hu, Zhizhong Han |
| 2024 | AAAI | Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. | Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2024 | CVPR | UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. | Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2024 | ECCV | Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2024 | ECCV | Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. | Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han |
| 2024 | ICRA | 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. | Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han |
| 2023 | AAAI | NeAF: Learning Neural Angle Fields for Point Normal Estimation. | Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. | Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. | Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han |
| 2023 | CVPR | Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words. | Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang |
| 2023 | CVPR | LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. | Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han |
| 2023 | ICCV | GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2023 | ICCV | Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction. | Sijia Jiang, Jing Hua, Zhizhong Han |
| 2023 | ICCV | Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. | Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han |
| 2023 | ICCV | Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. | Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han |
| 2023 | ICML | Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. | Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2023 | SiggraphA | Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. | Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han |
| 2022 | CVPR | Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. | Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han |
| 2022 | CVPR | Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. | Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2022 | CVPR | Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. | Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han |
| 2022 | CVPR | 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. | Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong, Zhizhong Han |
| 2022 | ECCV | Latent Partition Implicit with Surface Codes for 3D Representation. | Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2021 | CVPR | Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding. | Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu |
| 2021 | CVPR | PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths. | Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu |
| 2021 | ICCV | Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. | Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2021 | ICCV | SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. | Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han |
| 2021 | ICML | Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface. | Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2021 | WACV | Learning to Generate Dense Point Clouds with Textures on Multiple Categories. | Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker |
| 2020 | AAAI | 3D Shape Completion with Multi-View Consistent Inference. | Tao Hu, Zhizhong Han, Matthias Zwicker |
| 2020 | CVPR | SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. | Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker |
| 2020 | CVPR | Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. | Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu |
| 2020 | ECCV | SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments from 2D Coordinates. | Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker |
| 2020 | ICML | DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. | Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker |
| 2019 | AAAI | View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. | Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | AAAI | Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. | Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | AAAI | Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. | Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2019 | ICCV | Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. | Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | IJCAI | Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. | Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker |
| 2019 | IJCAI | 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. | Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen |