Application of GAN in the field of image super-resolution - Code World

Application of GAN in the field of image super-resolution

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Origin blog.csdn.net/xs1997/article/details/131747566

Application of GAN in the field of image super-resolution

文献阅读 To learn image super-resolution, use a GAN to learn how to do image degradation first

OUR-GAN: One-Sample Super-Resolution Image Generation

CVPR 2023 | Image super-resolution, combined with diffusion model/GAN/deployment optimization, low-level tasks, visual AIGC series

Summary of Single Image Super-Resolution Reconstruction

Image super-resolution using OpenCV (Python)

Image Super-resolution in computer vision algorithms

Face image super-resolution based on SRGAN

Omni Aggregation Networks for Lightweight Image Super-Resolution [Fully aggregated network for lightweight image super-resolution]

[Topic] super-resolution - based on the latest developments and trends image super-resolution depth study

Super-resolution algorithm ESRT: Transformer for Single Image Super-Resolution

A review of image super-resolution: a super-long article sweeping the past and present of image super-resolution (with core code)

Super-resolution algorithm TTSR: Learning Texture Transformer Network for Image Super-Resolution Super-resolution reconstruction based on reference image Ref

[Python & Image Super-Resolution] Real-ESRGAN Image Super-Resolution Model (Super-Resolution Reconstruction) Detailliertes Installations- und Nutzungs-Tutorial

Sentinel deep learning 2A / B super-resolution image

Super-resolution image reconstruction based on the depth of learning

Multi-source image super-resolution literature

USRNet：Deep Unfolding Network for Image Super-Resolution

（SRNTT）Image Super-Resolution by Neural Texture Transfer

【Detailed Explanation + Deployment】ESRT：Transformer for Single Image Super-Resolution

Super-resolution algorithm SwinIR: Image Restoration Using Swin Transformer

Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

Cross View Capture for Stereo Image Super-Resolution

Image super-resolution reconstruction learning record (2) - interpolation method

Hybrid Transformer and CNN Attention Network forStereo Image Super-resolution

Diffusion-based image super-resolution model: ResShift

Image super-resolution: Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution (DASR, oppo)

GAN-Based Super-Resolution Segmentation of Retinal Layers in Optical Coherence Tomography

DeSRA makes super-resolution GAN more perfect: detect and eliminate flaws

[Online Sharing] Opportunities and Challenges Faced by Super-resolution Technology in the RTC Field

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