Archive > Volume 18 Issue 3 > 2022,18(3):187-192. DOI:https://doi.org/10.1007/s11801-022-1111-0 CSTR:[cstr] Prev Next
Self-supervised image blind deblurring using deep generator prior
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
thods often result in mismatched reconstruction, a deblurring framework with the relaxation strategy is implemented to tackle this problem. The pre-trained GAN and pre-trained ReblurNet are allowed to be fine-tuned on the fly in a self-supervised manner. Finally, we demonstrate empirically that the proposed model can perform favorably against the state-of-the-art methods.
Keywords:
Project Supported:
Clc Number:
