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cs.CV2026
Test-Time Weak-to-Strong Alignment: Transferring Implicit Rewards from Weak to Strong Flow Models
Xin Xie, Fan Zhang, Dong Gong
Aligning a text-to-image generation flow model with a reward makes it follow objectives that the training data alone does not provide. Alignment fine-tuning delivers this by reinfo…
cs.CV2026
HyperAlign: Hypernetwork for Efficient Test-Time Alignment of Diffusion Models
Xin Xie, Jiaxian Guo, Dong Gong
Diffusion model alignment aims to bridge the gap between generated outputs and human preferences by enhancing both semantic consistency with textual prompts and overall visual qual…