Animesh Karnewar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Diffusion Models

Facial Expression Synthesis

Influence Maximization

Top Venues

SIGGRAPH (Conference Paper Track)

Publications

Raphael Bensadoun, Tom Monnier, Yanir Kleiman, Filippos Kokkinos, Yawar Siddiqui, Mahendra Kariya, Omri Harosh, Roman Shapovalov, Benjamin Graham, Emilien Garreau, Animesh Karnewar, Ang Cao, Idan Azuri, Iurii Makarov, Eric-Tuan Le, Antoine Toisoul, David Novotný, Oran Gafni, Natalia Neverova, Andrea Vedaldi
Meta 3D Gen. CoRR (2024)
Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. CVPR (2023)
Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný
HoloFusion: Towards Photo-realistic 3D Generative Modeling. ICCV (2023)
Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný
HoloFusion: Towards Photo-realistic 3D Generative Modeling. CoRR (2023)
Animesh Karnewar, Andrea Vedaldi, Niloy J. Mitra, David Novotný
GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. CoRR (2023)
Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images. CoRR (2023)
Animesh Karnewar, Oliver Wang, Tobias Ritschel, Niloy J. Mitra
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene. CoRR (2022)
Animesh Karnewar, Tobias Ritschel, Oliver Wang, Niloy J. Mitra
ReLU Fields: The Little Non-linearity That Could. SIGGRAPH (Conference Paper Track) (2022)
Animesh Karnewar, Tobias Ritschel, Oliver Wang, Niloy J. Mitra
ReLU Fields: The Little Non-linearity That Could. CoRR (2022)
Animesh Karnewar, Oliver Wang, Tobias Ritschel, Niloy J. Mitra
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene. 3DV (2022)
Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä
RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. 3DV (2021)
Animesh Karnewar, Oliver Wang
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks. CVPR (2020)
Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä
RGBD-Net: Predicting color and depth images for novel views synthesis. CoRR (2020)
Animesh Karnewar, Oliver Wang, Raghu Sesha Iyengar
MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis. CoRR (2019)
Animesh Karnewar, Ameeth Kanawaday, Chinmay Sawant, Yash Gupta
Classification of Abstract Images using Machine Learning. ICDLT (2017)