119 citations · 166 across the 22 of their papers we have counts for
4 papers · 1 filter
Is Your Text-to-Image Model Robust to Caption Noise?
Weichen Yu, Ziyan Yang, Shanchuan Lin +5
In text-to-image (T2I) generation, a prevalent training technique involves utilizing Vision Language Models (VLMs) for image re-captioning. Even though VLMs are known to exhibit ha…
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
Shanchuan Lin, Xiao Yang
We present AnimateDiff-Lightning for lightning-fast video generation. Our model uses progressive adversarial diffusion distillation to achieve new state-of-the-art in few-step vide…
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
Shanchuan Lin, Anran Wang, Xiao Yang
We propose a diffusion distillation method that achieves new state-of-the-art in one-step/few-step 1024px text-to-image generation based on SDXL. Our method combines progressive an…
Diffusion Model with Perceptual Loss
Shanchuan Lin, Xiao Yang
Diffusion models without guidance generate very unrealistic samples. Guidance is used ubiquitously, and previous research has attributed its effect to low-temperature sampling that…