Learning Representations to Guide Pixel Diffusion Transformers

Representation Guidance (RG) improves pixel diffusion transformer performance by optimizing representations specifically for generative utility rather than external semantic alignment. The study finds that decoupling architecture into specialized pixel decoders merely redistributes modeling tasks without inherently improving synthesis quality.