a public good project by the
Synthesis
Company
of California

© 2026

Degradation Reconstruction Loss: A Perceptual-Oriented Super-Resolution Framework for Multi-downsampling Degradations | doi.page

0 citations0 references

Google Scholar doi.org

Degradation Reconstruction Loss: A Perceptual-Oriented Super-Resolution Framework for Multi-downsampling Degradations

Lecture notes in computer science·2021·pp. 437–449

Citations Over Time

Zongyao He, Zhi Jin, Xiao Xu, Lei Luo

Related Papers

→ An Optimization Method for Video Upsampling and Downsampling Using Interpolation-Dependent Image Downsampling(2021)4 cited
→ Degradation Reconstruction Loss: A Perceptual-Oriented Super-Resolution Framework for Multi-downsampling Degradations(2021)2 cited
→ A Fast Domain Adaptation Network for Image Super-Resolution(2021)