TILT: Improving compositional generation in diffusion models with a model-intrinsic reward
Read the original at arxiv.org→arXiv:2607.21606v1 Announce Type: new Abstract: Recent advances in powerful text-to-image generation models have made it increasingly important to develop test-time methods that modify the sampling trajectory to...
Original headline: "TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward"
Coverage timeline
- Jul 27, 04:00 UTC arXiv cs.AI lead source TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward