Natalia Neverova
RESEARCH LEAD | MENLO PARK, UNITED STATES
Natalia Neverova is a Research Lead and Manager at Meta, currently working on developing Meta GenAI's multi-modal LLMs and foundational models for media generation. Prior to joining Meta in 2016, Natalia completed her PhD from INSA Lyon (France) and University of Guelph (Canada), and received the 2017 French best PhD thesis award for her work on "Deep Learning for Human Motion Analysis". She has also spent time as a visiting researcher at Google.
Research Areas
Natalia's Publications
July 02, 2024
GRAPHICS
COMPUTER VISION
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
Roman Shapovalov, Andrea Vedaldi, David Novotny, Emilien Garreau, Filippos Kokkinos, Mahendra Kariya, Natalia Neverova, Oran Gafni, Tom Monnier, Yanir Kleiman, Yawar Siddiqui
July 02, 2024
July 02, 2024
GRAPHICS
COMPUTER VISION
Meta 3D Gen
Yawar Siddiqui, Animesh Karnewar, Natalia Neverova, Andrea Vedaldi, Ang Cao, Antoine Toisoul, David Novotny, Emilien Garreau, Eric-Tuan Le, Filippos Kokkinos, Idan Azuri, Iurii Makarov, Mahendra Kariya, Omri Harosh, Oran Gafni, Raphael Bensadoun, Roman Shapovalov, Tom Monnier, Yanir Kleiman
July 02, 2024
July 02, 2024
GRAPHICS
COMPUTER VISION
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects
Oran Gafni, Andrea Vedaldi, Idan Azuri, Natalia Neverova, Omri Harosh, Raphael Bensadoun, Yanir Kleiman
July 02, 2024
February 13, 2024
GRAPHICS
COMPUTER VISION
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
Iro Laina, Christian Rupprecht, Filippos Kokkinos, Andrea Vedaldi, Luke Melas-Kyriazi, Natalia Neverova, Oran Gafni
February 13, 2024
December 26, 2023
GRAPHICS
COMPUTER VISION
Mosaic-SDF for 3D Generative Models
Omri Puny, Oran Gafni, Lior Yariv, Natalia Neverova, Yaron Lipman
December 26, 2023
July 02, 2023
COMPUTER VISION
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
Roman Shapovalov, Andrea Vedaldi, Benjamin Graham, David Novotny, Filippos Kokkinos, Ignacio Rocco, Natalia Neverova, Yanir Kleiman, Changan Chen
July 02, 2023
January 03, 2023
COMPUTER VISION
Self-supervised Correspondence Estimation via Multiview Registration
Benjamin Graham, Andrea Vedaldi, David Novotny, Ignacio Rocco, Justin Johnson, Natalia Neverova, Mohamed El Banani
January 03, 2023
December 01, 2020
RESEARCH
COMPUTER VISION
Continuous Surface Embeddings
Natalia Neverova, Andrea Vedaldi, David Novotny, Marc Szafraniec, Patrick Labatut, Vasil Khalidov
December 01, 2020
June 09, 2020
COMPUTER VISION
Transferring Dense Pose to Proximal Animal Classes
Natalia Neverova, Andrea Vedaldi, Artsiom Sanakoyeu, Vasil Khalidov, Maureen McCarthy
June 09, 2020
December 04, 2019
RESEARCH
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
Natalia Neverova, Andrea Vedaldi, David Novotny
December 04, 2019
September 05, 2019
RESEARCH
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
David Novotny, Andrea Vedaldi, Benjamin Graham, Natalia Neverova, Nikhila Ravi
September 05, 2019
June 12, 2019
RESEARCH
COMPUTER VISION
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues
Natalia Neverova, Andrea Vedaldi, James Thewlis, Iasonas Kokkinos, Riza Alp Guler
June 12, 2019
September 10, 2018
September 10, 2018
September 07, 2018
RESEARCH
SPEECH & AUDIO
Object Level Visual Reasoning in Videos
Natalia Neverova, Christian Wolf, Fabien Baradel, Greg Mori, Julien Mille
September 07, 2018
Our approach
Latest news
Foundational models
Meta © 2026