DAVID-Hown

DAVID-Hown's Stars

• abhuse/pytorch-efficientnet

  Pytorch EfficientNetV2 EfficientNetV1 with pretrained weights

  Language:Jupyter Notebook5111

• TaoWangzj/Awesome-Face-Restoration

  A comprehensive list of recources (papers, repositories etc.) about face restoration methods.

  44333

• chaofengc/Awesome-Image-Quality-Assessment

  A comprehensive collection of IQA papers

  Language:TeX1.1k72

• anse3832/MUSIQ

  Unofficial implementation of MUSIQ (Multi-Scale Image Quality Transformer)

  Language:Python10814

• zee0518/TF_RankIQA

  Tensorflow implement of RankIQA.

  Language:Python2525

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k8k

• gyhandy/Humanoid-Vision-Engine

  code for [ECCV 2022 paper] Contributions of Shape, Texture, and Color in Visual Recognition

  Language:Python10112

• zheng-yuwei/RankIQA.PyTorch

  基于PyTorch实现的图像质量评估模型RankIQA

  Language:Python13730

• tsyw/MachineLearningNotes

  My personal notes

  1.6k426

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.4k1.7k

• AgaMiko/data-augmentation-review

  List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

  1.6k205

• HaomingCai/PIPAL-dataset

  [ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.

  Language:Python713

• saeed-anwar/SRsurvey

  A Deep Journey into Super-resolution: A Survey, ACM Computing Surveys

  707

• swz30/Restormer

  [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

  Language:Python1.9k243

• JerryX1110/awesome-rvos

  Referring Video Object Segmentation / Multi-Object Tracking Repo

  Language:Python874

• DavidQiuChao/PBNFM

  An implementation for noise model estimation method of "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising", CVPR 2020.

  Language:Python235

• mdbloice/Augmentor

  Image augmentation library in Python for machine learning.

  Language:Python5.1k866

• bilibili/ailab

  Language:Python5.7k551

• Netflix/vmaf

  Perceptual video quality assessment based on multi-method fusion.

  Language:Python4.7k757

• NVlabs/nvdiffrec

  Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

  Language:Python2.2k228

• yeyupiaoling/ClassificationForAndroid

  在Android使用深度学习模型实现图像识别，本项目提供了多种使用方式，使用到的框架如下：Tensorflow Lite、Paddle Lite、MNN、TNN

  Language:C++16167

• xuebinqin/U-2-Net

  The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

  Language:Python8.8k1.5k

• DAVID-Hown/U-2-Net

  The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

  1

• ninja-build/ninja

  a small build system with a focus on speed

  Language:C++11.4k1.6k

• alibaba/MNN

  MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  Language:C++8.9k1.7k

• google/sky-optimization

  Repository and website for Sky Optimization: Semantically aware image processing of skies in low-light photography

  5315

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k1.1k

• PegasusWang/python_data_structures_and_algorithms

  Python 中文数据结构和算法教程

  Language:Python2.8k805

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python64.8k11.2k

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.4k2.6k