Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation

H Wang, X Du, J Li, RA Yeh… - Proceedings of the …, 2023 - openaccess.thecvf.com
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule
on the learned gradients, and back-propagate the score of a diffusion model through the …

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

H Wang, X Du, J Li, RA Yeh… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule
on the learned gradients, and back-propagate the score of a diffusion model through the …

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

H Wang, X Du, J Li, RA Yeh… - 2023 IEEE/CVF …, 2023 - computer.org
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule
on the learned gradients, and back-propagate the score of a diffusion model through the …

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

H Wang, X Du, J Li, RA Yeh… - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule
on the learned gradients, and back-propagate the score of a diffusion model through the …

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

H Wang, X Du, J Li, RA Yeh… - arXiv preprint arXiv …, 2022 - arxiv.org
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule
on the learned gradients, and back-propagate the score of a diffusion model through the …

[PDF][PDF] Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

H Wang, X Du, J Li, RA Yeh, G Shakhnarovich - arxiv.org
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule
on the learned gradients, and back-propagate the score of a diffusion model through the …