sepatin

OneTrainer

OneTrainer is a one-stop solution for all your stable diffusion training needs.

joliGEN

Generative AI Image Toolset with GANs and Diffusion for Real-World Applications

cross-domain-compositing

polyp-ddpm

Polyp dataset generation

Palette-Image-to-Image-Diffusion-Models

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

HINT

HINT: High-quality INpainting Transformer with Enhanced Attention and Mask-aware Encoding

da-fusion

Effective Data Augmentation With Diffusion Models

TCGAN

DiffMix

Official implementation of DiffMix (MICCAI 2023)

Nudiff

Diffusion-based Data Augmentation for Nuclei Image Segmentation (MICCAI 2023)

DIAG

Official implementation of the paper "Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection" accepted @ CBMI 2024.

segmentation-guided-diffusion

[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.

DreamDA

ControlAug

Official Implementation of WACV 2024 paper "Data Augmentation for Object Detection via Controllable Diffusion Models"

Paint-by-Example

Paint by Example: Exemplar-based Image Editing with Diffusion Models

MAT

MAT: Mask-Aware Transformer for Large Hole Image Inpainting

Paint-by-Inpaint

Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Faster-High-Res-Neural-Inpainting

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

CRA-Inpainting

Tensorflow2 Implementation of "Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting" - CVPR 2020 Oral

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

AOT-GAN-for-Inpainting

[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)

EXE-GAN

Facial image inpainting is a task of filling visually realistic and semantically meaningful contents for missing or masked pixels in a face image. This paper presents EXE-GAN, a novel diverse and interactive facial inpainting framework, which can not only preserve the high-quality visual effect of the whole image but also complete the face image with exemplar-like facial attributes.

ImageInpainting

IOPaint

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

instruct-pix2pix

LadaGAN

Efficient generative adversarial networks using linear additive-attention Transformers

Inpaint-Anything

Inpaint anything using Segment Anything and inpainting models.

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

DDPMs-Pytorch

Implementation of various DDPM papers to understand how they work

diffusion

Denoising Diffusion Probabilistic Models