P

Pcsr Carn

Developed by 3587jjh
An efficient image super-resolution method that achieves adaptive computation resource allocation through pixel-level classification
Downloads 14
Release Time : 10/9/2024

Model Overview

This model dynamically allocates computation resources via a pixel-level classifier, optimizing super-resolution processing efficiency for 2K to 8K resolution images

Model Features

Pixel-level computation resource allocation
Dynamically allocates upsamplers based on pixel restoration difficulty to optimize computation resource usage
Flexible performance-computation balance
Adjusts the balance between performance and computation cost during inference without retraining
Efficient high-resolution image processing
Specially optimized for super-resolution processing efficiency of large 2K to 8K images

Model Capabilities

Image super-resolution
Image quality enhancement
High-resolution image processing

Use Cases

Image enhancement
Comic image super-resolution
Performs 4× super-resolution processing on low-resolution comic images
Significantly improves resolution while maintaining image quality
High-resolution image reconstruction
Efficient super-resolution processing for large 2K-8K images
Outperforms traditional methods in PSNR-FLOP trade-off
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