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2020 – today
- 2024
[c8]Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotný:
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. ECCV (88) 2024: 454-472- [i8]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 abs/2407.02599 (2024) - 2023
- [c7]Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra:
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. CVPR 2023: 18423-18433 - [c6]Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný:
HoloFusion: Towards Photo-realistic 3D Generative Modeling. ICCV 2023: 22919-22928 - [i7]Animesh Karnewar, Andrea Vedaldi, David Novotný, Niloy J. Mitra:
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images. CoRR abs/2303.16509 (2023) - [i6]Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný:
HoloFusion: Towards Photo-realistic 3D Generative Modeling. CoRR abs/2308.14244 (2023) - [i5]Animesh Karnewar, Andrea Vedaldi, Niloy J. Mitra, David Novotný:
GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. CoRR abs/2312.08744 (2023) - 2022
- [c5]Animesh Karnewar, Oliver Wang, Tobias Ritschel, Niloy J. Mitra:
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene. 3DV 2022: 342-352 - [c4]Animesh Karnewar, Tobias Ritschel, Oliver Wang, Niloy J. Mitra:
ReLU Fields: The Little Non-linearity That Could. SIGGRAPH (Conference Paper Track) 2022: 27:1-27:9 - [i4]Animesh Karnewar, Tobias Ritschel, Oliver Wang, Niloy J. Mitra:
ReLU Fields: The Little Non-linearity That Could. CoRR abs/2205.10824 (2022) - [i3]Animesh Karnewar, Oliver Wang, Tobias Ritschel, Niloy J. Mitra:
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene. CoRR abs/2211.14902 (2022) - 2021
- [c3]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: 1095-1105 - 2020
- [c2]Animesh Karnewar, Oliver Wang:
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks. CVPR 2020: 7796-7805 - [i2]Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting color and depth images for novel views synthesis. CoRR abs/2011.14398 (2020)
2010 – 2019
- 2019
- [i1]Animesh Karnewar, Oliver Wang, Raghu Sesha Iyengar:
MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis. CoRR abs/1903.06048 (2019) - 2017
- [c1]Animesh Karnewar, Ameeth Kanawaday, Chinmay Sawant, Yash Gupta:
Classification of Abstract Images using Machine Learning. ICDLT 2017: 36-40
Coauthor Index
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