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36 search results found

Pi Rec ⭐ 1,835

🔥 PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. 🔥 图像翻译，条件GAN，AI绘画

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Focal Frequency Loss ⭐ 407

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

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.

Generating RGB photos from RAW image files with PyNET

Deep Mri Reconstruction ⭐ 159

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Openeit ⭐ 127

Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods

Pynet Bokeh ⭐ 97

Rendering Realistic Bokeh Images with PyNET

Pynet Pytorch ⭐ 90

Generating RGB photos from RAW image files with PyNET (PyTorch)

Pytomography ⭐ 65

This repository enables easy and fast medical image reconstruction in Python.

Pygrappa ⭐ 51

Python implementations of GRAPPA-like algorithms.

Sen12ms Cr Ts ⭐ 50

Ccpi Regularisation Toolkit ⭐ 40

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

MiraPy: A Python package for Deep Learning in Astronomy

Ocr Vqgan ⭐ 32

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

Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]

The implementation of "Learning a Hierarchical Latent-Variable Model of 3D Shapes" [3DV 2018].

Data processing algorithms for tomography: https://algotom.readthedocs.io

NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

A package for AFM image reconstruction and compressed sensing in general

Coordinate Mlps ⭐ 27

Experiments of coordinate MLPs

A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.

Hash Grid Encoding ⭐ 24

Pure PyTorch implementation of Nvidia's hash grid encoding: https://nvlabs.github.io/instant-ngp/

Uncrtaints ⭐ 23

Ne2ne Image Denoising ⭐ 23

Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training

High-throughput PET image reconstruction with high quantitative accuracy and precision

Shapr_torch ⭐ 22

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

Super Resolution Srdpns Tensorflow ⭐ 22

My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks

Dynamicradcinemri ⭐ 10

Implementation of an iterative network for image reconstruction in 2D radial cardiac cine MRI.

PyTorch code of our ICIP'19 paper "Improving Super-Resolution Methods via Incremental Residual Learning"

Residual_mlp_cnn_mixer ⭐ 7

(MICCAI 2022) PyTorch implementation of Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence.

Gratopy - Graz accelerated tomographic projections for Python

Phantominator ⭐ 6

Generate numerical phantoms.

Interactive Web UI for X-ray CT with Real-time Results

[WACV '23] AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models

Line Drawer ⭐ 5

line-drawer recreates a given image by only drawing it by simple straight lines. Implementation inspired by linify.me and written in Python 3.

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