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Video diffusion alignment via reward gradients
Mihir Prabhudesai*,
Zheyang Qin*,
Russell Mendonca*,
Katerina Fragkiadaki,
Deepak Pathak,
In Submission, 2024
webpage
/
arXiv
VADER is a framework for efficiently fine-tuning video diffusion models using reward gradients,
enabling alignment with task-specific objectives.
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