Yiqing Shi

Edit2Perceive: Image Editing Diffusion Models Are Strong Dense Perceivers

Recent advances in diffusion transformers have shown remarkable generalization in visual synthesis, yet most dense perception methods still rely on text-to-image (T2I) generators designed for stochastic generation. We revisit this paradigm and show that image editing diffusion models are inherently