Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
-
Updated
Apr 12, 2024 - Python
#
real-image-super-resolution
Here are 5 public repositories matching this topic...
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)
-
Updated
Oct 18, 2023 - Python
Code repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).
image-restoration
deep-convolutional-neural-networks
eccv2020
aim2020
real-image-super-resolution
cyclic-gan
-
Updated
Mar 24, 2021 - Python
Our solution to AIM2020 Real Image Super-Resolution Challenge (x2)
-
Updated
Jul 22, 2020 - Python
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows, in ICML 2023
-
Updated
Jan 1, 2024 - Python
Improve this page
Add a description, image, and links to the real-image-super-resolution topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the real-image-super-resolution topic, visit your repo's landing page and select "manage topics."