Jpeg Compression Artifact Reduction
5 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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DIV2K
Most implemented papers
Deep Image Prior
DmitryUlyanov/deep-image-prior
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CVPR 2018
In this paper, we show that, on the contrary, the structure of a generator network is sufficient to capture a great deal of low-level image statistics prior to any learning.
SwinIR: Image Restoration Using Swin Transformer
In particular, the deep feature extraction module is composed of several residual Swin Transformer blocks (RSTB), each of which has several Swin Transformer layers together with a residual connection.
Accurate Image Restoration with Attention Retractable Transformer
gladzhang/art
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This is considered as a dense attention strategy since the interactions of tokens are restrained in dense regions.
iiTransformer: A Unified Approach to Exploiting Local and Non-Local Information for Image Restoration
SamsungLabs/iiTransformer
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BMVC 2022
The goal of image restoration is to recover a high-quality image from its degraded input.
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image Denoising
2023-MindSpore-1/ms-code-79
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journal 2023
Based on the prior that, for each pixel, its similar pixels are usually spatially close, our insights are that (1) we partition the image into non-overlapped windows and perform regional self-attention to reduce the search range of each pixel, and (2) we encourage pixels across different windows to communicate with each other.
