Towards Controllable Image Generation through Representation-Conditioned Diffusion Models 事件

Towards Controllable Image Generation through Representation-Conditioned Diffusion Models arXiv:2605.27343v1 Announce Type: new Abstract: Diffusion models have emerged as powerful tools for high-quality image generation and editing, but guiding these models to produce specific outputs remains a challenge. Conventional approaches rely on conditioning mechanisms, such as text prompts or semantic maps, which require extensively annotated datasets. In this preliminary work, we explore diffusion mod