TILT: Model-Intrinsic Reward Alignment For Compositional Diffusion.

arXiv:2607.21606v2 Announce Type: replace Abstract: Consider conditional generation $p(x \mid C=\{c_1, c_2, \dots c_k\})$ where $C$ is a prompt composed of multiple concepts $c_i$. Diffusion models often struggle with compositional prompts, producing samples i