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

[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.

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

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

Generating RGB photos from RAW image files with PyNET

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

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

(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution [PyTorch]

Rendering Realistic Bokeh Images with PyNET

(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]

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

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

Image and video Tokenizer/VAE selection guide, text and face reconstruction evaluation.

(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]

Experiments of coordinate MLPs

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

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

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