Representation learning in diffusion and flow-based model: an application aspect
This work systematically categorizes representative methods across a wide range of downstream tasks, including image classification, dense visual prediction, instance-level perception, and annotation-scarce scenarios, and proposes a three-tier progressive framework that organizes existing works from three perspectives.