research
∙
09/18/2022
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors
Assuming a known degradation model, the performance of a learned image s...
share
research
∙
09/18/2022
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models
Flow-based generative super-resolution (SR) models learn to produce a di...
research
∙
06/01/2021
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution
It is well-known that in inverse problems, end-to-end trained networks o...
research
∙
04/30/2021
