UniFL: Improve Stable Diffusion via Unified Feedback Learning

arXiv:2404.05595v1 Announce Type: new
Abstract: Diffusion models have revolutionized the field of image generation, leading to the proliferation of high-quality models and diverse downstream applications. However, despite these significant advancements, the current competitive solutions still suffer from several limitations, including inferior visual quality, a lack of aesthetic appeal, and inefficient inference, without a comprehensive solution in sight. To address these challenges, we present UniFL, a unified framework that leverages feedback learning to enhance diffusion models comprehensively. UniFL stands out as …

abstract applications arxiv cs.cv current diffusion diffusion models diverse feedback however image image generation inference limitations quality solutions stable diffusion type via visual