AI RESEARCH
SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning
arXiv CS.CV
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ArXi:2603.17426v1 Announce Type: new Image-conditioned Video diffusion models achieve impressive visual realism but often suffer from weakened motion fidelity, e.g., reduced motion dynamics or degraded long-term temporal coherence, especially after fine-tuning. We study the problem of motion alignment in video diffusion models post-