Han, Zhizhong

57 publications

CVPR 2025 GaussianUDF: Inferring Unsigned Distance Functions Through 3D Gaussian Splatting Shujuan Li, Yu-Shen Liu, Zhizhong Han

CVPR 2025 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

NeurIPS 2025 MaterialRefGS: Reflective Gaussian Splatting with Multi-View Consistent Material Inference Wenyuan Zhang, Jimin Tang, Weiqi Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han

CVPR 2025 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

CVPR 2025 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

AAAI 2025 Query Quantized Neural SLAM Sijia Jiang, Jing Hua, Zhizhong Han

AAAI 2025 Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions Sijia Jiang, Tong Wu, Jing Hua, Zhizhong Han

AAAI 2025 Sharpening Neural Implicit Functions with Frequency Consolidation Priors Chao Chen, Yu-Shen Liu, Zhizhong Han

ICCV 2025 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

NeurIPS 2025 U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching Junsheng Zhou, XingYu Shi, Haichuan Song, Yi Fang, Yu-Shen Liu, Zhizhong Han

ICML 2025 VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians Pengchong Hu, Zhizhong Han

NeurIPS 2024 Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis Liang Han, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

NeurIPS 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds Through Finetuning Data-Driven Based Priors Chao Chen, Yu-Shen Liu, Zhizhong Han

AAAI 2024 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

ECCV 2024 Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes Chao Chen, Yu-Shen Liu, Zhizhong Han

ECCV 2024 Learning Unsigned Distance Functions from Multi-View Images with Volume Rendering Priors Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han

NeurIPS 2024 MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han

NeurIPS 2024 Neural Signed Distance Function Inference Through Splatting 3D Gaussians Pulled on Zero-Level Set Wenyuan Zhang, Yu-Shen Liu, Zhizhong Han

CVPR 2024 UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han

NeurIPS 2024 Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

ICCV 2023 Coordinate Quantized Neural Implicit Representations for Multi-View Reconstruction Sijia Jiang, Jing Hua, Zhizhong Han

NeurIPS 2023 Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han

ICCV 2023 GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds Chao Chen, Yu-Shen Liu, Zhizhong Han

CVPR 2023 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

NeurIPS 2023 Learning Neural Implicit Through Volume Rendering with Attentive Depth Fusion Priors Pengchong Hu, Zhizhong Han

ICML 2023 Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping Baorui Ma, Yu-Shen Liu, Zhizhong Han

ICCV 2023 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

AAAI 2023 NeAF: Learning Neural Angle Fields for Point Normal Estimation Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han

NeurIPS 2023 NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han

CVPR 2023 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

ICCV 2023 Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han

CVPR 2023 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

CVPR 2023 Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

CVPR 2023 Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds Without Learning Priors Chao Chen, Yu-Shen Liu, Zhizhong Han

CVPR 2022 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong, Zhizhong Han

NeurIPS 2022 HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han

ECCV 2022 Latent Partition Implicit with Surface Codes for 3D Representation Chao Chen, Yu-Shen Liu, Zhizhong Han

NeurIPS 2022 Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han

CVPR 2022 Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han

CVPR 2022 Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors Baorui Ma, Yu-Shen Liu, Zhizhong Han

CVPR 2022 Surface Reconstruction from Point Clouds by Learning Predictive Context Priors Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han

CVPR 2021 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

WACV 2021 Learning to Generate Dense Point Clouds with Textures on Multiple Categories Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker

ICML 2021 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

CVPR 2021 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

ICCV 2021 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

ICCV 2021 Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker

AAAI 2020 3D Shape Completion with Multi-View Consistent Inference Tao Hu, Zhizhong Han, Matthias Zwicker

ICML 2020 DRWR: A Differentiable Renderer Without Rendering for Unsupervised 3D Structure Learning from Silhouette Images Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker

ECCV 2020 SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1d Occupancy Segments from 2D Coordinates Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker

IJCAI 2019 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

NeurIPS 2019 Fast Low-Rank Metric Learning for Large-Scale and High-Dimensional Data Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu

IJCAI 2019 Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker

AAAI 2019 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

ICCVW 2019 Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker

AAAI 2019 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

AAAI 2019 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