A unified diffusion model jointly trained on video face restoration, colorization, and inpainting outperforms single-task baselines on VFHQ-test.
Human motion video genera- tion: A survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SVFR: A Unified Framework for Generalized Video Face Restoration
A unified diffusion model jointly trained on video face restoration, colorization, and inpainting outperforms single-task baselines on VFHQ-test.