Joint Learning of Multiple Regressors for Single Image Super-Resolution
We propose a mixture of experts (MoE) model to jointly learn multiple anchors and regressors for Single Image Super-Resolution (SISR). For training, run step 1 2 3 4. For testing, run HR2LR.m then run SISR_main.m.
Cite As
Kai Zhang (2024). Joint Learning of Multiple Regressors for Single Image Super-Resolution (https://www.mathworks.com/matlabcentral/fileexchange/53349-joint-learning-of-multiple-regressors-for-single-image-super-resolution), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
SISR/test/
SISR/test/utilities/
SISR/train/step_1_patches_collection_for_MoE/
SISR/train/step_2_MoE_model_training/
SISR/train/step_2_MoE_model_training/GMM/
SISR/train/step_3_5million_patches_collection/
SISR/train/step_4_refine_experts/
SISR/train/step_4_refine_experts/irls/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 | My email is zhkmath@163.com. Please feel free to contact me if you have any questions. |