ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

A curated list of image inpainting and video inpainting papers and resources

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Generate large-scale explorable 3D scenes with high-quality panorama videos from a single image or text prompt.

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

Towards Efficient Large Mask Inpainting via Knowledge Transfer (ICME 2023)

[CVPR 2022] Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Lora dreambooth training with inpainting tuned SDXL model. See it in action in a shopify store.

Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.

Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.

High-Resolution Image Synthesis with Latent Diffusion Models

High-Resolution Image Synthesis with Latent Diffusion Models

High-Resolution Image Synthesis with Latent Diffusion Models

Towards Unified Keyframe Propagation Models

Free Analysis and Interactive Reconstruction for Structured Illumination Microscopy

Desktop app, web app and source code for training, testing and using ML-SIM

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Image reconstruction for structured-illumination microscopy implemented in CUDA

Models and examples built with TensorFlow

Codes and examples for Compressive Holographic Video

Image inpainting based on OMP and KSVD algorithm

Reimplementation of CSNet (Deep network for compressed image sensing, ICME17)

# TGDOF This is the testing code of TGDOF for CS-MRI. Running the script "AddPath" and then the "Demo_TGDOF" to test the basic deep framework for CS-MRI. TestData ------------ The testing MR slices…

Code for the book "Compressive imaging: Structure, Sampling, Learning".

Final project for CS 230, Spring 2018.