Beast code in Giters

wgp's starred repositories

MiOIR

Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy

Language:Python6000

VideoDemoireing

(CVPR 2022) Video Demoireing with Relation-Based Temporal Consistency

Language:PythonApache-2.07200

SFNet

[ICLR 2023] Selective Frequency Network for Image Restoration

Language:PythonMIT9200

Awesome-Denoise

One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.

MIT40900

BSVD

[ACM MM 2022] Real-time Streaming Video Denoising with Bidirectional Buffers

Language:PythonMIT6100

RethinkVSRAlignment

(NIPS 2022) Rethinking Alignment in Video Super-Resolution Transformers

Language:Python10900

OVQE

[IEEE TBC] PyTorch Implementation for "OVQE: Omniscient Network for Compressed Video Quality Enhancement"

Language:PythonApache-2.0600

IART

[CVPR 2024 Highlight] Enhancing Video Super-Resolution via Implicit Resampling-based Alignment.

Language:Python14300

STDO-CVPR2023

[CVPR2023] Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

Language:Python7700

BasicVSR_PlusPlus

Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"

Language:PythonApache-2.057300

dvdnet

DVDnet: A Simple and Fast Network for Deep Video Denoising

Language:PythonGPL-3.07500

fastdvdnet

FastDVDnet: A Very Fast Deep Video Denoising algorithm

Language:PythonMIT56200

TinyWebServer

:fire: Linux下C++轻量级WebServer服务器

Language:C++Apache-2.01599200

parallelformers

Parallelformers: An Efficient Model Parallelization Toolkit for Deployment

Language:PythonApache-2.076600

viztracer

VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.

Language:PythonApache-2.0469300

AbSViT

Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)

Language:Jupyter Notebook15800

MRDA

This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023

Language:Python2300

TTVSR

[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution

Language:PythonMIT19800

BiT

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

Language:PythonMIT20600

6.824

MIT 6.824 distributed system C++Version

Language:C++72300

UHDM

(ECCV2022) This is the official PyTorch implementation of ECCV2022 paper: Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

Language:PythonApache-2.019500

powerqe

Empower the quality enhancement approaches for compressed images/videos.

Language:Python4500

LLFormer

The code release of paper "AAAI Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method", AAAI 2023

Language:PythonNOASSERTION15600

LaKDNet

Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer

Language:PythonAGPL-3.07600

SelfDeblur

Self-supervised linear motion deblurring

Language:PythonMIT12100

The project page of the paper: Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng, "Quality-Gated Convolutional LSTM for Enhancing Compressed Video", in IEEE International Conference on Multimedia and Expo (ICME), 2019.