A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..
Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation
High-Resolution Image/Video Harmonization [ECCV 2022]
[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur
Frame-Recurrent Video Super-Resolution (official repository)
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
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
A comparison tool to aid image/video enhancement research
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
Repository for the ECCV 2020 paper: "Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping"
Video Enhancement For Surveillance
Super Resolution for Cartoon Video
Implementation of our paper published in Springer's Signal, Image and Video Processing
[IJCV'24] Temporally Consistent Enhancement of Low-light Videos via Spatial-Temporal Compatible Learning
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.
[ECCV'24] Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement
[ACM MM 2024 (Oral)] Official PyTorch Implementation of Paper "MovingColor: Seamless Fusion of Fine-grained Video Color Enhancement"
onnx converted image restoration
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.
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