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17 search results found

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

Awesome Cvpr2021 Cvpr2020 Low Level Vision ⭐ 526

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

Illumination Adaptive Transformer ⭐ 359

[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Night Enhancement ⭐ 335

[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

Awesome Iccv2023 Low Level Vision ⭐ 158

A Collection of Papers and Codes in ICCV2023/2021 about low level vision

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

Awesome Eccv2022 Low Level Vision ⭐ 141

A Collection of Papers and Codes in ECCV2022 about low level vision

Awesome Eccv2020 Low Level Vision ⭐ 134

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

AI Image SIgnal Processing and Computational Photography - Bokeh Rendering @ NTIRE CVPR 2023, AIM 2022 Reversed ISP Challenge @ ECCV, Model-Based Image Signal Processors via Learnable Dictionaries (AAAI 22)

Nighttime_dehaze ⭐ 121

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

Maxim Pytorch ⭐ 117

[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

Mirnetv2 ⭐ 113

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

Two Stage Knowledge For Multiple Adverse Weather Removal ⭐ 65

[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

Iccv2021 Single Image Desnowing Hdcwnet ⭐ 49

This paper is accepted by ICCV 2021.

Awesome Low Level Vision Research Groups ⭐ 46

A Collection of Low Level Vision Research Groups

[CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/maxim

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