SwinIR: Image Restoration Using Swin Transformer (official repository)
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Updated
Dec 4, 2022 - Python
SwinIR: Image Restoration Using Swin Transformer (official repository)
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
VRT: A Video Restoration Transformer (official repository)
Lighthouse 2 framework for real-time ray tracing
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
[UNMAINTAINED] Real-time path tracing on the web with three.js
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Diffusion Models in Medical Imaging
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)
[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022
Awesome Resources for Advanced Computer Vision Topics
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