Vikram Voleti

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Diffusion Models

Recurrent Neural Networks

Face Verification

Inverse Kinematics

Top Venues

SIGGRAPH Asia Technical Communications

Publications

Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency. CoRR (2024)
Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion. CoRR (2024)
Hieu T. Nguyen, Yiwen Chen, Vikram Voleti, Varun Jampani, Huaizu Jiang
HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model. CoRR (2024)
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. CoRR (2023)
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
Objaverse-XL: A Universe of 10M+ 3D Objects. NeurIPS (2023)
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy
Are Diffusion Models Vision-And-Language Reasoners? NeurIPS (2023)
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy
Are Diffusion Models Vision-And-Language Reasoners? CoRR (2023)
Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar
Score-based Diffusion Models in Function Space. CoRR (2023)
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
Objaverse-XL: A Universe of 10M+ 3D Objects. CoRR (2023)
Vikram Voleti
Conditional Generative Modeling for Images, 3D Animations, and Video. CoRR (2023)
Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. NeurIPS (2022)
Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. CoRR (2022)
Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. CoRR (2022)
Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman
FairCal: Fairness Calibration for Face Verification. ICLR (2022)
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. CoRR (2022)
Mahta Ramezanian-Panahi, German Abrevaya, Jean-Christophe Gagnon-Audet, Vikram Voleti, Irina Rish, Guillaume Dumas
Generative Models of Brain Dynamics. Frontiers Artif. Intell. 5 (2022)
Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. SIGGRAPH Asia Technical Communications (2022)
Nitpreet Bamra, Vikram Voleti, Alexander Wong, Jason Deglint
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms. CoRR (2022)
Vikram Voleti, Christopher Pal, Adam M. Oberman
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models. CoRR (2022)
David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal
Simple Video Generation using Neural ODEs. CoRR (2021)
Tiago Salvador, Vikram Voleti, Alexander Iannantuono, Adam M. Oberman
Improved Predictive Uncertainty using Corruption-based Calibration. CoRR (2021)
Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher J. Pal
Multi-Resolution Continuous Normalizing Flows. CoRR (2021)
Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint
SALT: Sea lice Adaptive Lattice Tracking - An Unsupervised Approach to Generate an Improved Ocean Model. CoRR (2021)
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
gradSim: Differentiable simulation for system identification and visuomotor control. CoRR (2021)
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
Accounting for Variance in Machine Learning Benchmarks. MLSys (2021)
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
Accounting for Variance in Machine Learning Benchmarks. CoRR (2021)
J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
gradSim: Differentiable simulation for system identification and visuomotor control. ICLR (2021)
Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman
Bias Mitigation of Face Recognition Models Through Calibration. CoRR (2021)
Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. ICML (2020)
Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. CoRR (2020)
Abhishek Jha, Vikram Voleti, Vinay Namboodiri, C. V. Jawahar
Cross-language Speech Dependent Lip-synchronization. ICASSP (2019)
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. CoRR (2019)