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Matan Atzmon
Matan Atzmon
Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Implicit geometric regularization for learning shapes
A Gropp, L Yariv, N Haim, M Atzmon, Y Lipman
Proceedings of the 37th International Conference on Machine Learning (ICML) 119, 2020
8202020
Multiview neural surface reconstruction by disentangling geometry and appearance
L Yariv, Y Kasten, D Moran, M Galun, M Atzmon, R Basri, Y Lipman
Advances in Neural Information Processing Systems 33, 2020
8112020
Point convolutional neural networks by extension operators
M Atzmon, H Maron, Y Lipman
ACM Transactions on Graphics (TOG) 37 (4), 2018
5952018
SAL: Sign agnostic learning of shapes from raw data
M Atzmon, Y Lipman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
5282020
SALD: Sign Agnostic Learning with Derivatives
M Atzmon, Y Lipman
International Conference on Learning Representations (ICLR) 2021, 2020
1402020
Controlling neural level sets
M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman
Advances in Neural Information Processing Systems 32, 2019
1242019
Frame averaging for invariant and equivariant network design
O Puny, M Atzmon, H Ben-Hamu, EJ Smith, I Misra, A Grover, Y Lipman
International Conference on Learning Representations (ICLR) 2022, 2021
1132021
Neural kernel surface reconstruction
J Huang, Z Gojcic, M Atzmon, O Litany, S Fidler, F Williams
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
462023
Isometric autoencoders
A Gropp, M Atzmon, Y Lipman
arXiv preprint arXiv:2006.09289, 2020
26*2020
Augmenting implicit neural shape representations with explicit deformation fields
M Atzmon, D Novotny, A Vedaldi, Y Lipman
arXiv preprint arXiv:2108.08931, 2021
172021
Frame averaging for equivariant shape space learning
M Atzmon, K Nagano, S Fidler, S Khamis, Y Lipman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
152022
ReMatching Dynamic Reconstruction Flow
S Oblak, D Paschalidou, S Fidler, M Atzmon
arXiv preprint arXiv:2411.00705, 2024
2024
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
T Shen, Z Li, M Law, M Atzmon, S Fidler, J Lucas, J Gao, N Sharp
arXiv preprint arXiv:2409.20562, 2024
2024
Using machine learning for surface reconstruction in synthetic content generation systems and applications
J Huang, F Williams, Z Gojcic, M Atzmon, O Litany, S Fidler
US Patent App. 18/169,825, 2024
2024
Approximately Piecewise E (3) Equivariant Point Networks
M Atzmon, J Huang, F Williams, O Litany
International Conference on Learning Representations (ICLR) 2024, 2024
2024
Neural Kernel Surface Reconstruction—Appendix—
J Huang, Z Gojcic, M Atzmon, O Litany, S Fidler, F Williams
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