Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation
Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In this paper, we propose a meta-learning and Markov Chain Monte Carlo (MCMC) based SISR approach...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 17. Dez., Seite 8139-8156
|
|---|
| Auteur principal: |
Xia, Jingyuan
(Auteur) |
|---|
| Autres auteurs: |
Yang, Zhixiong,
Li, Shengxi,
Zhang, Shuanghui,
Fu, Yaowen,
Gunduz, Deniz,
Li, Xiang |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2024
|
|---|
| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Sujets: | Journal Article |
|---|