research
∙
05/01/2023
In-Context Learning Unlocked for Diffusion Models
We present Prompt Diffusion, a framework for enabling in-context learnin...
share
research
∙
04/11/2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Although text-to-image diffusion models have made significant strides in...
research
∙
03/16/2023
Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models
For downstream applications of vision-language pre-trained models, there...
research
∙
08/12/2022
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Offline reinforcement learning (RL), which aims to learn an optimal poli...
research
∙
06/05/2022
Diffusion-GAN: Training GANs with Diffusion
For stable training of generative adversarial networks (GANs), injecting...
research
∙
02/19/2022
A Regularized Implicit Policy for Offline Reinforcement Learning
Offline reinforcement learning enables learning from a fixed dataset, wi...
research
∙
11/02/2019
