Jain, Ajay

9 publications

ICLR 2023 DreamFusion: Text-to-3D Using 2D Diffusion Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall

CVPR 2023 VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models Ajay Jain, Amber Xie, Pieter Abbeel

UAI 2022 AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li, Ajay Jain, Pieter Abbeel

NeurIPSW 2022 Journey to the BAOAB-Limit: Finding Effective MCMC Samplers for Score-Based Models Ajay Jain, Ben Poole

CVPR 2022 Zero-Shot Text-Guided Object Generation with Dream Fields Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole

ICCV 2021 Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Ajay Jain, Matthew Tancik, Pieter Abbeel

UAI 2020 Locally Masked Convolution for Autoregressive Models Ajay Jain, Pieter Abbeel, Deepak Pathak

CoRL 2019 Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

ICMLW 2019 Using Effective Dimension to Analyze Feature Transformations in Deep Neural Networks Kavya Ravichandran, Ajay Jain, Alexander Rakhlin