xLuge

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

magic-animate

[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

facechain

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

lama

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

multidiffusion-upscaler-for-automatic1111

Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0

AnyText

Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>

adetailer

Auto detecting, masking and inpainting with detection model.

Moore-AnimateAnyone

Character Animation (AnimateAnyone, Face Reenactment)

Open-AnimateAnyone

Unofficial Implementation of Animate Anyone

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

sd_dreambooth_extension

PatchFusion

[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation

PASD

[ECCV2024] Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

MotionDirector

[ECCV 2024 Oral] MotionDirector: Motion Customization of Text-to-Video Diffusion Models.

HandRefiner

DDPM

PyTorch DDPM implementation

Magic-Me

Codes for ID-Specific Video Customized Diffusion

Multi-LoRA-Composition

Repository for the Paper "Multi-LoRA Composition for Image Generation"

DL-Demos

Demos for deep learning

pytorch_mgie

A Gradio demo of MGIE

CosmicMan

CosmicMan: A Text-to-Image Foundation Model for Humans (CVPR 2024)

BakedAvatar

Pytorch Code for "BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis"

SegVit

Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

DATASOURCE

awesome-image-inpainting-studies

A collection of awesome image inpainting studies.

Conffusion

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

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.

PATMAT

[ICCV 2023] PATMAT Person Aware Tuning of Mask Aware Transformer for Face Inpainting

SFI-Swin

SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions https://arxiv.org/abs/2301.03130

IFBlend