Papersby GlyphScaling Zero-Shot Reference-to-Video Generation research paper by Meta, 2025
Meta · Multimodal and robotics · Dec 7, 2025 · 11 citations · 29 upvotes · unverified
What it shows
Saber is a scalable zero-shot framework for reference-to-video generation that uses video-text pairs to learn identity-consistent representations and outperforms models trained with explicit reference data.
By Zijian Zhou, Shikun Liu, Haozhe Liu and 14 more · arXiv 2512.06905 · PDF · Code
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
- Venue
- Computer Vision and Pattern Recognition
- Citations
- 11, 0 influential · Semantic Scholar
- Upvotes
- 29 · Hugging Face
- Lab
- Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
Citations rose from 10 to 11.
A first count of 0 influential citations.
A first count of 10 citations.
Found by the weekly Hugging Face scan; not yet checked by hand.