[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.

[ECCV'24] Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement

FilterX is an innovative webcam application that enhances your video feed with artistic filters like X-ray, sepia, and night vision. Capture stunning images and explore vibrant colors with intuitive controls. FilterX transforms every moment into a unique visual experience, redefining creativity and expression in real time.

[ACM MM 2024 (Oral)] Official PyTorch Implementation of Paper "MovingColor: Seamless Fusion of Fine-grained Video Color Enhancement"

[IJCV'24] Temporally Consistent Enhancement of Low-light Videos via Spatial-Temporal Compatible Learning

[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining

Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

KLing-Video-WatermarkRemover-Enhancer is an open-source tool developed to enhance and clean up videos generated by KLing. This project is designed to automatically remove watermarks from videos and apply advanced enhancement algorithms, improving the overall visual quality.

A comparison tool to aid image/video enhancement research

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

onnx converted image restoration

Video Enhancement For Surveillance

Image restoration for deep-sea ROV underwater images and videos.

Super Resolution for Cartoon Video

High-Resolution Image/Video Harmonization [ECCV 2022]

Official Code for 'Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction' - ACM Multimedia2021 (ACMMM2021) Accepted Paper Task: Video Quality Enhancement / Video Compression Artifact Reduction

Repository for the ECCV 2020 paper: "Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping"

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

Implementation of our paper published in Springer's Signal, Image and Video Processing

A Super Resolution model built with pytorch lightning