Folgen
Baorui Ma
Baorui Ma
Bestätigte E-Mail-Adresse bei mails.tsinghua.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces
B Ma, Z Han, YS Liu, M Zwicker
arXiv preprint arXiv:2011.13495, 2020
1022020
Reconstructing 3D shapes from multiple sketches using direct shape optimization
Z Han, B Ma, YS Liu, M Zwicker
IEEE Transactions on Image Processing 29, 8721-8734, 2020
472020
Surface reconstruction from point clouds by learning predictive context priors
B Ma, YS Liu, M Zwicker, Z Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
432022
Learning consistency-aware unsigned distance functions progressively from raw point clouds
J Zhou, B Ma, YS Liu, Y Fang, Z Han
Advances in neural information processing systems 35, 16481-16494, 2022
412022
Reconstructing surfaces for sparse point clouds with on-surface priors
B Ma, YS Liu, Z Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
382022
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 37 (1), 1396-1404, 2023
192023
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
172023
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
92023
Self-supervised point cloud representation learning with occlusion auto-encoder
J Zhou, X Wen, B Ma, YS Liu, Y Fang, Z Han
arXiv e-prints, arXiv: 2203.14084, 2022
92022
Learning signed distance functions from noisy 3d point clouds via noise to noise mapping
B Ma, YS Liu, Z Han
82023
Uni3d: Exploring unified 3d representation at scale
J Zhou, J Wang, B Ma, YS Liu, T Huang, X Wang
arXiv preprint arXiv:2310.06773, 2023
52023
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
arXiv preprint arXiv:2203.14084, 2022
52022
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
42023
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
12024
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
2024
Supplementary Material for “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
Supplemental Materials for “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
Supplemental Material “Surface Reconstruction from Point Clouds by Learning Predictive Context Priors”
B Ma, YS Liu, M Zwicker, Z Han
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–18