SR_Framework
A generic super-resolution framework which implements the following networks (Updating...)
- LatticeNet [ECCV2020]
- IMDN [ACM MM2019]
- SRFBN [CVPR2019]
- IDN [CVPR2018]
- CARN [ECCV2018]
- EDSR [CVPR2017]
- DRRN [CVPR2017]
- LapSRN [CVPR2017]
- DRCN [CVPR2016]
- VDSR [CVPR2016]
Implement some useful functions for article figures. Like the following:
- 1. generate_best: Automatically compare your method with other methods and visualize the best patches.
- 2. Frequency_analysis: Convert an image to 1-D spectral densities.
- 3. relation: Explore relations in fuse stage.(eg. torch.cat([t1, t2, t3, c4], dim=1) and then fuse them with 1x1 convolution)
- 4. feature_map: Visualize feature map.(average feature maps along channel axis)
