Official repository of the Deep Image Debanding conference paper. This research project was done with Dr. Shahrukh Athar, Zhongling Wang, and Prof. Zhou Wang, and the work is published in ICIP 2022.

Video Deblurring with Transformer

PyTorch implementation for Test-Time Degradation Adaptation for Open-Set Image Restoration (ICML 2024, Spotlight)

A Deep Motion Deblurring Network based on Per-Pixel Adaptive Kernels with Residual Down-Up and Up-Down Modules, A source code of the 3rd winner of NTIRE 2019 Video Deblurring Challenge

A curated list of resources for Image and Video Deblurring

INFWIDE: Image and Feature Space Deep Wiener Deconvolution for Non-blind Image Deblurring in Low-Light Conditions

Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Blur Conversion for Unsupervised Image Deblurring (CVPR'24)

You Only Look Once for Panopitic Driving Perception.（MIR2022）

A simple tool to extract motion vectors from h264 encoded videos.

PyTorch implementation of "MGANet & DCC2020 paper"

The state-of-the-art image restoration model without nonlinear activation functions.

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Visualizer for neural network, deep learning and machine learning models

This is the official testing code of the baseline method presented at the CVPR 2023 NTIRE Real-Time 4K Super-Resolution Challenge. We provide model and pre-trained checkpoints.

Native C and C++ implementation of RAISR (Rapid and Accurate Image Super-Resolution). Intel Video Super Resolution Library

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025

Super Resolution for images using deep learning.

Official implementation of the "Efficient Video Compression via Content-Adaptive Super-Resolution" paper in Tensorflow.

[CVPR 2024] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

Foundation Models for Video Understanding: A Survey

[TMM 2023] VideoXum: Cross-modal Visual and Textural Summarization of Videos

No-reference IQA/IAA metric

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

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…