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Hit Srf 4x Df2k

Developed by XiangZ
HiT-SR is a general strategy for enhancing transformer-based super-resolution methods, improving existing model structures to achieve better super-resolution performance while reducing computational burden.
Image Enhancement
Safetensors
#Image Super-Resolution#Efficient Transformer#Hierarchical Structure
Downloads 27
Release Time : 3/22/2025

Model Overview

HiT-SR enhances existing super-resolution models through a hierarchical transformer architecture, significantly improving image super-resolution results and lowering computational costs.

Model Features

Efficient Transformer Architecture
Adopts a hierarchical transformer design to significantly reduce computational complexity.
Performance Improvement
Achieves better super-resolution results at the same or lower computational cost.
General Enhancement Strategy
Applicable to various transformer-based super-resolution models.

Model Capabilities

Image Super-Resolution
Low-Resolution Image Enhancement
Image Detail Restoration

Use Cases

Image Processing
Old Photo Restoration
Enhances the clarity of low-resolution historical photos.
Recovers more details and texture information.
Surveillance Video Enhancement
Improves the quality of low-resolution video frames captured by surveillance cameras.
Enhances face and license plate recognition.
Medical Imaging
Medical Image Enhancement
Improves the clarity of low-resolution medical images.
Assists doctors in making more accurate diagnoses.
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