Classification of Abstract Images using Machine Learning. - Animesh Karnewar; Ameeth Kanawaday; Chinmay Sawant; Yash Gupta (ICDLT, 2017)

MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis. - Animesh Karnewar; Oliver Wang; Raghu Sesha Iyengar (CoRR, 2019)

MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks. - Animesh Karnewar; Oliver Wang (CVPR, 2020)

RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. - Phong Nguyen 001; Animesh Karnewar; Lam Huynh; Esa Rahtu; Jiri Matas; Janne Heikkilä (3DV, 2021)

3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene. - Animesh Karnewar; Oliver Wang; Tobias Ritschel 001; Niloy J. Mitra (3DV, 2022)

ReLU Fields: The Little Non-linearity That Could. - Animesh Karnewar; Tobias Ritschel 001; Oliver Wang; Niloy J. Mitra (SIGGRAPH (Conference Paper Track), 2022)

HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. - Animesh Karnewar; Andrea Vedaldi; David Novotný; Niloy J. Mitra (CVPR, 2023)

HoloFusion: Towards Photo-realistic 3D Generative Modeling. - Animesh Karnewar; Niloy J. Mitra; Andrea Vedaldi; David Novotný (ICCV, 2023)

GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. - Animesh Karnewar; Andrea Vedaldi; Niloy J. Mitra; David Novotný (CoRR, 2023)

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. - Animesh Karnewar; Roman Shapovalov; Tom Monnier; Andrea Vedaldi; Niloy J. Mitra; David Novotný (ECCV (88), 2024)

Meta 3D Gen. - Raphael Bensadoun; Tom Monnier; Yanir Kleiman; Filippos Kokkinos; Yawar Siddiqui; Mahendra Kariya; Omri Harosh; Roman Shapovalov; Benjamin Graham; Emilien Garreau; Animesh Karnewar; Ang Cao; et al. (CoRR, 2024)