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Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute

Kim, Daneul et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionimage-and-video-processing
Subject-driven video generation (SDV-Gen) aims to produce videos of a specific subject by adapting a pretrained video model, enabling personalized and application-driven content creation. To achieve this goal, per-subject tuning methods require approximately 200 A100 GPU hours to generate a customiz
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