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Matan Atzmon
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2020 – today
- 2024
- [c9]Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. ICLR 2024 - [i13]Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. CoRR abs/2402.08529 (2024) - [i12]Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp:
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. CoRR abs/2409.20562 (2024) - 2023
- [c8]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CVPR 2023: 4369-4379 - [i11]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CoRR abs/2305.19590 (2023) - 2022
- [c7]Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman:
Frame Averaging for Equivariant Shape Space Learning. CVPR 2022: 621-631 - [c6]Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman:
Frame Averaging for Invariant and Equivariant Network Design. ICLR 2022 - 2021
- [c5]Matan Atzmon, Yaron Lipman:
SALD: Sign Agnostic Learning with Derivatives. ICLR 2021 - [i10]Matan Atzmon, David Novotný, Andrea Vedaldi, Yaron Lipman:
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields. CoRR abs/2108.08931 (2021) - [i9]Omri Puny, Matan Atzmon, Heli Ben-Hamu, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman:
Frame Averaging for Invariant and Equivariant Network Design. CoRR abs/2110.03336 (2021) - [i8]Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman:
Frame Averaging for Equivariant Shape Space Learning. CoRR abs/2112.01741 (2021) - 2020
- [c4]Matan Atzmon, Yaron Lipman:
SAL: Sign Agnostic Learning of Shapes From Raw Data. CVPR 2020: 2562-2571 - [c3]Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman:
Implicit Geometric Regularization for Learning Shapes. ICML 2020: 3789-3799 - [c2]Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, Yaron Lipman:
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance. NeurIPS 2020 - [i7]Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman:
Implicit Geometric Regularization for Learning Shapes. CoRR abs/2002.10099 (2020) - [i6]Lior Yariv, Matan Atzmon, Yaron Lipman:
Universal Differentiable Renderer for Implicit Neural Representations. CoRR abs/2003.09852 (2020) - [i5]Matan Atzmon, Yaron Lipman:
SAL++: Sign Agnostic Learning with Derivatives. CoRR abs/2006.05400 (2020) - [i4]Matan Atzmon, Amos Gropp, Yaron Lipman:
Isometric Autoencoders. CoRR abs/2006.09289 (2020)
2010 – 2019
- 2019
- [c1]Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman:
Controlling Neural Level Sets. NeurIPS 2019: 2032-2041 - [i3]Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman:
Controlling Neural Level Sets. CoRR abs/1905.11911 (2019) - [i2]Matan Atzmon, Yaron Lipman:
SAL: Sign Agnostic Learning of Shapes from Raw Data. CoRR abs/1911.10414 (2019) - 2018
- [j1]Matan Atzmon, Haggai Maron, Yaron Lipman:
Point convolutional neural networks by extension operators. ACM Trans. Graph. 37(4): 71 (2018) - [i1]Matan Atzmon, Haggai Maron, Yaron Lipman:
Point Convolutional Neural Networks by Extension Operators. CoRR abs/1803.10091 (2018)
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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