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Matan Atzmon
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Point convolutional neural networks by extension operators
M Atzmon, H Maron, Y Lipman
ACM Transactions on Graphics (TOG) 37 (4), 2018
3452018
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
2042020
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
1962020
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
1922020
Controlling neural level sets
M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman
Advances in Neural Information Processing Systems 32, 2019
562019
SALD: Sign Agnostic Learning with Derivatives
M Atzmon, Y Lipman
International Conference on Learning Representations (ICLR) 2021, 2020
492020
Isometric autoencoders
A Gropp, M Atzmon, Y Lipman
arXiv preprint arXiv:2006.09289, 2020
12*2020
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
82021
Augmenting implicit neural shape representations with explicit deformation fields
M Atzmon, D Novotny, A Vedaldi, Y Lipman
arXiv preprint arXiv:2108.08931, 2021
62021
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
12022
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Articles 1–10