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.

Natalia's Publications

July 02, 2024

GRAPHICS

COMPUTER VISION

Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials

Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny

July 02, 2024

July 02, 2024

GRAPHICS

COMPUTER VISION

Meta 3D Gen

Raphael Bensadoun, Tom Monnier, Yanir Kleiman, Filippos Kokkinos, Yawar Siddiqui, Mahendra Kariya, Omri Harosh, Roman Shapovalov, Emilien Garreau, Animesh Karnewar, Ang Cao, Idan Azuri, Iurii Makarov, Eric-Tuan Le, Antoine Toisoul, David Novotny, Oran Gafni, Natalia Neverova, Andrea Vedaldi

July 02, 2024

July 02, 2024

GRAPHICS

COMPUTER VISION

Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects

Raphael Bensadoun, Yanir Kleiman, Idan Azuri, Omri Harosh, Andrea Vedaldi, Natalia Neverova, Oran Gafni

July 02, 2024

February 13, 2024

GRAPHICS

COMPUTER VISION

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation

Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos

February 13, 2024

December 26, 2023

GRAPHICS

COMPUTER VISION

Mosaic-SDF for 3D Generative Models

Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, 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

RESEARCH

Dense Pose Transfer

Natalia Neverova, Iasonas Kokkinos, Riza Alp Guler

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