SUGAR combines a 2.5 million synthetic image-video-text dataset, selective attention, and two-stage training to generate videos of a subject from one image and a text prompt without per-subject fine-tuning.
Panda-70m: Captioning 70m videos with multiple cross-modality teachers, 2024
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SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner
SUGAR combines a 2.5 million synthetic image-video-text dataset, selective attention, and two-stage training to generate videos of a subject from one image and a text prompt without per-subject fine-tuning.