There are 17 repositories under image-reconstruction topic.
Collection of popular and reproducible image denoising works.
:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译,条件GAN,AI绘画
A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
🌕 [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.
Generating RGB photos from RAW image files with PyNET (PyTorch)
A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
MoVQGAN - model for the image encoding and reconstruction
Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch
Reconstruction of three-dimensional porous media using generative adversarial neural networks
Rendering Realistic Bokeh Images with PyNET
Build your own Face App with Stable Diffusion 2.1
This repository enables easy and fast medical image reconstruction in Python.
(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]
Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing
MIRT: Michigan Image Reconstruction Toolbox (Julia version)
Experiments of coordinate MLPs
Computed Tomography Image Reconstruction Project using MATLAB
Pure PyTorch implementation of Nvidia's hash grid encoding: https://nvlabs.github.io/instant-ngp/
A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging
(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]
OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]
Unofficial implementation (replicates paper results!) of MINER: Multiscale Implicit Neural Representations in pytorch-lightning