3 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
Self-correcting LLM-controlled Diffusion Models
Tsung-Han Wu, Long Lian, Joseph E. Gonzalez +2
Text-to-image generation has witnessed significant progress with the advent of diffusion models. Despite the ability to generate photorealistic images, current text-to-image diffus…
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
Jiaxin Ge, Sanjay Subramanian, Trevor Darrell +1
Addressing the challenge of adapting pre-trained vision-language models for generating insightful explanations for visual reasoning tasks with limited annotations, we present ReVis…
LLM-grounded Video Diffusion Models
Long Lian, Baifeng Shi, Adam Yala +2
Text-conditioned diffusion models have emerged as a promising tool for neural video generation. However, current models still struggle with intricate spatiotemporal prompts and oft…