S

Swin2sr Compressed Sr X4 48

Developed by caidas
Swin2SR is an image super-resolution model based on the SwinV2 Transformer architecture, capable of 4x image upscaling and specifically designed for super-resolution reconstruction of compressed images.
Downloads 163
Release Time : 12/16/2022

Model Overview

Swin2SR is an image super-resolution model based on the SwinV2 Transformer architecture, capable of upscaling low-resolution images by 4x, particularly suitable for super-resolution reconstruction tasks of compressed images.

Model Features

4x Image Upscaling
Capable of upscaling low-resolution images by 4x, significantly improving image quality.
Compressed Image Optimization
Specifically designed for super-resolution reconstruction of compressed images, effectively addressing quality loss caused by compression.
SwinV2 Transformer Architecture
Utilizes the advanced SwinV2 Transformer architecture, providing efficient image processing capabilities.

Model Capabilities

Image Super-Resolution
Image Upscaling
Compressed Image Restoration

Use Cases

Image Processing
Compressed Image Restoration
Restore compressed low-resolution images to high-resolution images.
Significantly improves image quality and reduces compression-induced losses.
Image Upscaling
Upscale low-resolution images by 4x, suitable for scenarios requiring high-resolution images.
Generates high-quality high-resolution images.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase