Home Projects awesome-image-inpainting-studies
awesome-image-inpainting-studies
TeX

awesome-image-inpainting-studies

A collection of awesome image inpainting studies.

by AlonzoLeeeooo · GitHub
Stars
Forks
License
Created
Last commit
Language
diffusion-modelsgenerative-adversarial-networksimage-inpaintingMITTeX
View on GitHub
In plain words

Explore a collection of research papers and resources focused on improving image editing techniques.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
awesome-image-inpainting-studies — GitHub preview card
📈 Star history
393392
2026-07-202026-08-31
📈 Track awesome-image-inpainting-studies

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

A collection of awesome image inpainting studies.

awesome-image-inpainting-studies has 392 stars on GitHub. It has been forked 28 times. awesome-image-inpainting-studies is written mainly in TeX. It has been in active development since 2024. awesome-image-inpainting-studies is available under the MIT license. Its main topics are diffusion-models, generative-adversarial-networks, image-inpainting, interactive-image-inpainting.

Frequently asked questions

What is awesome-image-inpainting-studies?

A collection of awesome image inpainting studies.

Is awesome-image-inpainting-studies open source?

awesome-image-inpainting-studies is an open-source project. It is released under the MIT license.

Is awesome-image-inpainting-studies free?

Yes. awesome-image-inpainting-studies is free and open source — you can use, modify and self-host it.

What license does awesome-image-inpainting-studies use?

awesome-image-inpainting-studies is available under the MIT license.

What language is awesome-image-inpainting-studies written in?

awesome-image-inpainting-studies is written mainly in TeX.

🏅 Maintainer of this project?
olud.ai badge — awesome-image-inpainting-studies

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=alonzoleeeooo-awesome-image-inpainting-studies)](https://olud.ai/project/alonzoleeeooo-awesome-image-inpainting-studies.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
BrushEdit
[under review] The official implementation of paper "BrushEdit: All-In-One Image Inpainting and…
587 · diffusion-models
sharesimage-inpaintingdiffusion-models
awesome-video-generation
A collection of awesome video generation studies.
773 · diffusion-models
sharesgenerative-adversarial-networksdiffusion-models
HiFi-Inpaint
[CVPR 2026] Offical implementation of the paper "HiFi-Inpaint: Towards High-Fidelity Reference-…
111 · computer-vision
sharesimage-inpaintingdiffusion-models
inpainting_gmcnn
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
435 · deep-learning
sharesimage-inpainting
torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
1.4k · computer-vision
sharesgenerative-adversarial-networks
big-sleep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Tech…
2.6k · artificial-intelligence
sharesgenerative-adversarial-networks
Keras-GAN
Keras implementations of Generative Adversarial Networks.
9.2k · deep-learning
sharesgenerative-adversarial-networks
PowerPaint
[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inp…
1.1k · aigc
sharesimage-inpainting
Pluralistic-Inpainting
[CVPR 2019]: Pluralistic Image Completion
690 · generative-adversarial-networks
sharesgenerative-adversarial-networks
high-fidelity-generative-compression
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural imag…
475 · computer-vision
sharesgenerative-adversarial-networks

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.