2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
Xiang Wang, Shiwei Zhang, Hangjie Yuan +6
Diffusion-based text-to-video generation has witnessed impressive progress in the past year yet still falls behind text-to-image generation. One of the key reasons is the limited s…
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following
Yutong Feng, Biao Gong, Di Chen +3
Existing text-to-image (T2I) diffusion models usually struggle in interpreting complex prompts, especially those with quantity, object-attribute binding, and multi-subject descript…
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation
Siteng Huang, Biao Gong, Yutong Feng +4
This study focuses on a novel task in text-to-image (T2I) generation, namely action customization. The objective of this task is to learn the co-existing action from limited data a…
Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation
Biao Gong, Siteng Huang, Yutong Feng +3
Diffusion models have recently achieved remarkable progress in generating realistic images. However, challenges remain in accurately understanding and synthesizing the layout requi…