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A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐
Some histogram equalization methods to enhance image contrast, including AHE and CLAHE.
The Free and Open Source Cross Platform YUV Viewer with an advanced analytics toolset
Official pytorch implementation for "LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models"
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.
Image-to-Image Translation in PyTorch
Semantic-Aware LLIE. CVPR 2023 TPAMI 2024
[CVPR 2023 Highlight] DNF: Decouple and Feedback Network for Seeing in the Dark
✏️ Neural Style Transfer: A Review
[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Visualizer for neural network, deep learning and machine learning models
A complete tensorflow2.3 inplementation of paper GLeNet-Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement(2020 ECCV)
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…
[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
记录近期的 1) 图像/视频的超分增强等low level vision任务; 2) 图像生成 等任务相关论文, 主要为18年以后的DL based方法.
(ECCV 2020) Conditional Sequential Modulation for Efficient Global Image Retouching
Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Split screen video comparison tool using FFmpeg and SDL2