1

DRN

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Python

438

2

HNAS-SR

HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution

Python

59

3

NAT

Implementation for NAT.

Python

57

4

AEGAN

Code for “Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis”

Python

38

5

NATv2

Implementation for NATv2.

Python

23

6

CNAS

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

Python

17

7

LCCGAN

Code for “Adversarial Learning with Local Coordinate Coding”

Python

16

8

TAPADL

Code of "Robustifying Token Attention for Vision Transformers"

Python

9

9

CAC

Python

6

10

PNAG

PNAG

Python

6

11

DRC

Dual Regression Compression for SR Models

Python

5

12

EWS

Code for "Improving Robustness by Enhancing Weak Subnets"

Python

5

13

RSPC

Code for "Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions"

Python

4

14

LCCGAN-v2

Pytorch implementation of LCCGAN++.

Python

3