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cs.CV2026
ToPO: Token-Oriented Preference Optimization for Text-to-Image Diffusion Models
Juntao Xu, Shihong Li, Hoi Fan Au +1
Diffusion models have achieved remarkable success in text-to-image generation, yet aligning their outputs with human preferences remains challenging. Diffusion-DPO learns from imag…
cs.CV2026
Rectify Then Diffuse: Disentangling Concepts Before Denoising Trajectory Unfolds
Ning Zhu, An Chen, Mengfei Zhao +4
Text-to-image diffusion models can generate individual concepts well, but they often omit or merge concepts incorrectly with multiple concepts. We trace these failures to an early…