HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Mon, 28 Apr 2025 08:05:26 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"680f36c6-923b"
expires: Sun, 28 Dec 2025 17:49:19 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 8788:292AC1:7DA23F:8CE4F2:69516B47
accept-ranges: bytes
age: 0
date: Sun, 28 Dec 2025 17:39:20 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210049-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1766943560.878294,VS0,VE219
vary: Accept-Encoding
x-fastly-request-id: 350f8315c4c7e4c7d291636647bf517d541c78b5
content-length: 10937
Matan's Homepage
Matan Atzmon
I am a research scientist at NVIDIA, part of the NVIDIA Spatial Intelligence Lab .
Prior to that, I completed my Ph.D. studies at the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science under the supervision of Prof. Yaron Lipman .
Email: matzmon(at)nvidia(dot)com, Google scholar page , GitHub page Twitter
ReMatching Dynamic Reconstruction Flow
Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan AtzmonInternational Conference on Learning Representations (ICLR) 2025
Abstract
Arxiv Project
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
Tianchang Shen, Zhaoshuo Li, Marc Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas SharpSIGGRAPH Asia 2024
Abstract
Arxiv Project
Neural Kernel Surface Reconstruction
Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis WilliamsComputer Vision and Pattern Recognition (CVPR) 2023, highlight paper
Abstract
Arxiv Project Video
Ph.D. Thesis
Matan AtzmonWeizmann Institute of Science, 2022
Paper
Frame Averaging for Equivariant Shape Space Learning
Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron LipmanComputer Vision and Pattern Recognition (CVPR) 2022
Abstract
Arxiv Project Video
Frame Averaging for Invariant and Equivariant Network Design
Omri Puny*, Matan Atzmon*, Heli Ben-Hamu*, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman (*equal contribution)International Conference on Learning Representations (ICLR) 2022, oral presentation
Abstract
Arxiv
Code
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields
Matan Atzmon, David Novotny, Andrea Vedaldi, Yaron LipmanTechnical report
Abstract
Arxiv
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon and Yaron Lipman International Conference on Learning Representations (ICLR) 2021
Abstract
Arxiv
Code
Video
Isometric Autoencoders
Amos Gropp, Matan Atzmon, Yaron LipmanTechnical report
Abstract
Arxiv
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, Yaron Lipman34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), spotlight
Abstract
Arxiv
Code
Project Page
