Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. - Baorui Ma; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (CoRR, 2020)

Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization. - Zhizhong Han; Baorui Ma; Yu-Shen Liu; Matthias Zwicker (IEEE Trans. Image Process., 2020)

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 (ICML, 2021)

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, 2022)

Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. - Junsheng Zhou; Baorui Ma; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (NeurIPS, 2022)

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

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 (ICCV, 2023)

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

Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. - Junsheng Zhou; Baorui Ma; Wenyuan Zhang; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2023)

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation. - Baorui Ma; Haoge Deng; Junsheng Zhou; Yu-Shen Liu; Tiejun Huang 003; Xinlong Wang (CoRR, 2023)

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 (AAAI, 2024)

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

Uni3D: Exploring Unified 3D Representation at Scale. - Junsheng Zhou; Jinsheng Wang; Baorui Ma; Yu-Shen Liu; Tiejun Huang 003; Xinlong Wang (ICLR, 2024)

3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. - Junsheng Zhou; Xin Wen 003; Baorui Ma; Yu-Shen Liu; Yue Gao 002; Yi Fang 006; Zhizhong Han (ICRA, 2024)

Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images. - Baorui Ma; Yu-Shen Liu; Matthias Zwicker; Zhizhong Han (ACM Multimedia, 2024)

TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt. - Jiahui Yang; Donglin Di; Baorui Ma; Xun Yang 001; Yongjia Ma; Wenzhang Sun; Wei Chen 089; Jianxun Cui; Zhou Xue; Meng Wang 001; Yebin Liu (CoRR, 2024)

Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping. - Junsheng Zhou; Baorui Ma; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization. - Junsheng Zhou; Baorui Ma; Shujuan Li; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale. - Baorui Ma; Huachen Gao; Haoge Deng; Zhengxiong Luo; Tiejun Huang 003; Lulu Tang; Xinlong Wang (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 (CVPR, 2025)

RelaI2P: Relational Learning for Image-to-Point Cloud Registration. - Minghui Hou; Gang Wang; Zhiyang Wang; Baorui Ma (ICASSP, 2025)

BLCC: A Benchmark for Multi-LiDAR and Multi-camera Calibration. - Minghui Hou; Gang Wang 013; Zhiyang Wang; Tongzhou Zhang 001; Baorui Ma (MMM (1), 2025)

PolarBEVU: Multi-Camera 3D Object Detection in Polar Bird's-Eye View via Unprojection. - Minghui Hou; Chuanhao Lyu; Gang Wang; Baorui Ma; Rongtao Xu; Jue Hu; Xiaopeng Fan (IEEE Trans. Circuits Syst. Video Technol., 2025)