Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds J Zhou, B Ma, YS Liu, Y Fang, Z Han Neural Information Processing Systems (NeurIPS), 2022 | 79 | 2022 |
Uni3D: Exploring Unified 3D Representation at Scale J Zhou, J Wang, B Ma, YS Liu, T Huang, X Wang International Conference on Learning Representations, 2024 | 74 | 2024 |
3D shape reconstruction from 2D images with disentangled attribute flow X Wen, J Zhou, YS Liu, H Su, Z Dong, Z Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57 | 2022 |
Towards better gradient consistency for neural signed distance functions via level set alignment B Ma, J Zhou, YS Liu, Z Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 44 | 2023 |
NeAF: Learning Neural Angle Fields for Point Normal Estimation S Li, J Zhou, B Ma, YS Liu, Z Han Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022 | 43 | 2022 |
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection J Zhou, B Ma, S Li, YS Liu, Z Han Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 29 | 2023 |
Differentiable registration of images and lidar point clouds with voxelpoint-to-pixel matching J Zhou, B Ma, W Zhang, Y Fang, YS Liu, Z Han Advances in Neural Information Processing Systems 36, 2024 | 21 | 2024 |
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation B Ma, H Deng, J Zhou, YS Liu, T Huang, X Wang arXiv preprint arXiv:2311.17971, 2023 | 20 | 2023 |
3D-OAE: Occlusion auto-encoders for self-supervised learning on point clouds J Zhou, X Wen, B Ma, YS Liu, Y Gao, Y Fang, Z Han 2024 IEEE International Conference on Robotics and Automation (ICRA), 15416 …, 2024 | 19 | 2024 |
NeuSurf: On-surface priors for neural surface reconstruction from sparse input views H Huang, Y Wu, J Zhou, G Gao, M Gu, YS Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2312-2320, 2024 | 17 | 2024 |
Multi-grid representation with field regularization for self-supervised surface reconstruction from point clouds C Jin, T Wu, J Zhou Computers & Graphics 114, 379-386, 2023 | 17 | 2023 |
Learning continuous implicit field with local distance indicator for arbitrary-scale point cloud upsampling S Li, J Zhou, B Ma, YS Liu, Z Han Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3181-3189, 2024 | 16 | 2024 |
Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder J Zhou, X Wen, B Ma, YS Liu, Y Gao, Y Fang, Z Han arXiv preprint arXiv:2203.14084, 2022 | 12 | 2022 |
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results L Pan, T Wu, Z Cai, Z Liu, X Yu, Y Rao, J Lu, J Zhou, M Xu, X Luo, K Fu, ... arXiv preprint arXiv:2112.12053, 2021 | 12 | 2021 |
UDiFF: Generating conditional unsigned distance fields with optimal wavelet diffusion J Zhou, W Zhang, B Ma, K Shi, YS Liu, Z Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization J Zhou, B Ma, S Li, YS Liu, Y Fang, Z Han IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 9 | 2024 |
DiffGS: Functional Gaussian Splatting Diffusion J Zhou, W Zhang, YS Liu Advances in Neural Information Processing Systems, 2024 | 5 | 2024 |
Fast Learning of Signed Distance Functions From Noisy Point Clouds Via Noise to Noise Mapping J Zhou, B Ma, YS Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 5 | 2024 |
Binocular-guided 3d gaussian splatting with view consistency for sparse view synthesis L Han, J Zhou, YS Liu, Z Han Advances in Neural Information Processing Systems, 2024 | 4 | 2024 |
Zero-shot scene reconstruction from single images with deep prior assembly J Zhou, YS Liu, Z Han Advances in Neural Information Processing Systems, 2024 | 4 | 2024 |