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2020 – today
- 2024
[j3]Junsheng Zhou, Baorui Ma
, Shujuan Li, Yu-Shen Liu, Yi Fang, Zhizhong Han:
CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7475-7492 (2024)- [j2]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8936-8953 (2024) - [c14]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. AAAI 2024: 3181-3189 - [c13]Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han:
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. CVPR 2024: 21496-21506 - [c12]Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang:
Uni3D: Exploring Unified 3D Representation at Scale. ICLR 2024 - [c11]Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han:
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. ICRA 2024: 15416-15423 - [c10]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images. ACM Multimedia 2024: 10248-10257 - [i15]Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han:
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. CoRR abs/2404.06851 (2024) - [i14]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping. CoRR abs/2407.14225 (2024) - [i13]Jiahui Yang, Donglin Di, Baorui Ma, Xun Yang, Yongjia Ma, Wenzhang Sun, Wei Chen, Jianxun Cui, Zhou Xue, Meng Wang, Yebin Liu:
TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt. CoRR abs/2410.21299 (2024) - 2023
- [c9]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
NeAF: Learning Neural Angle Fields for Point Normal Estimation. AAAI 2023: 1396-1404 - [c8]Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han:
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CVPR 2023: 17724-17734 - [c7]Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han:
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. ICCV 2023: 3158-3169 - [c6]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. ICML 2023: 23338-23357 - [c5]Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. NeurIPS 2023 - [i12]Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han:
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CoRR abs/2305.11601 (2023) - [i11]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. CoRR abs/2306.01405 (2023) - [i10]Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han:
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. CoRR abs/2308.11441 (2023) - [i9]Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang:
Uni3D: Exploring Unified 3D Representation at Scale. CoRR abs/2310.06773 (2023) - [i8]Baorui Ma, Haoge Deng, Junsheng Zhou, Yu-Shen Liu, Tiejun Huang, Xinlong Wang:
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation. CoRR abs/2311.17971 (2023) - [i7]Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. CoRR abs/2312.04060 (2023) - [i6]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. CoRR abs/2312.15133 (2023) - 2022
- [c4]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CVPR 2022: 6305-6315 - [c3]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CVPR 2022: 6316-6327 - [c2]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. NeurIPS 2022 - [i5]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CoRR abs/2204.10603 (2022) - [i4]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CoRR abs/2204.11015 (2022) - [i3]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. CoRR abs/2210.02757 (2022) - [i2]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
NeAF: Learning Neural Angle Fields for Point Normal Estimation. CoRR abs/2211.16869 (2022) - 2021
- [c1]Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface. ICML 2021: 7246-7257 - 2020
- [j1]Zhizhong Han, Baorui Ma, Yu-Shen Liu, Matthias Zwicker:
Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization. IEEE Trans. Image Process. 29: 8721-8734 (2020) - [i1]Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. CoRR abs/2011.13495 (2020)
Coauthor Index
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