A reward-feedback fine-tuning framework trains a face reward model and uses its gradient plus structural and regularization losses to improve diffusion face restoration models.
Vqfr: Blind face restoration with vector-quantized dictionary and parallel decoder
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
DiffusionReward: Enhancing Blind Face Restoration through Reward Feedback Learning
A reward-feedback fine-tuning framework trains a face reward model and uses its gradient plus structural and regularization losses to improve diffusion face restoration models.