Baorui Ma

According to our database, Baorui Ma authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Zhizhong Han

IEEE Trans. Pattern Anal. Mach. Intell., December, 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., December, 2024

Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images.

Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Uni3D: Exploring Unified 3D Representation at Scale.

Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion.

Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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, Xinlong Wang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping.

Baorui Ma, Yu-Shen Liu, Zhizhong Han

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment.

Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeAF: Learning Neural Angle Fields for Point Normal Estimation.

Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds.

Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Surface Reconstruction from Point Clouds by Learning Predictive Context Priors.

Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors.

Baorui Ma, Yu-Shen Liu, Zhizhong Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the 38th International Conference on Machine Learning, 2021

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 Functions from Point Clouds by Learning to Pull Space onto Surfaces.

Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker

CoRR, 2020