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Stable Diffusion web UI
WebUI extension for ControlNet
Latex code for making neural networks diagrams
VMamba: Visual State Space Models，code is based on mamba
论文《Diff-2sIR: Diffusion-Based Refinement Two-Stage Image Restoration Model》的代码实施。
The PyTorch implementation of ICCV 2019 oral paper: free-form inpainting (deepfillv2), especially Gated Conv
Official PyTorch Code and Models of "Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling", ICME 2024
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
This is an official implementation for "Pyramid-VAE-GAN: Transferring hierarchical latent variables for image inpainting".
A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。| 基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。
This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023
High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
High-Resolution Image Synthesis with Latent Diffusion Models
ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors (TPAMI2023)
Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes (ICCV 2021)
Codes of Learning Prior Feature and Attention Enhanced Image Inpainting (ECCV2022)
A curated list of image inpainting and video inpainting papers and resources
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications