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3d-iwgan

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

3d-measurement-and-motion-capture

Xuruili works

3d-recgan

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

3dreconstruction

3D reconstruction, sfm with Python3

acnet

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

aweosme-3d-restruction

3D restruction algorithm

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-lf-image-sr

A Collection of Papers and Datasets for Light Field Image Super-Resolution

awesome-super-resolution

Collect super-resolution related papers, data, repositories

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

basiclfsr

Open Source Light Field Toolbox for Super-Resolution

basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

bgnet

Xuyuhua works

blendedmvs

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

car

Content adaptive resampler for image downscaling

casewesternreserveuniversitydata

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cnn-for-stock-market-prediction-pytorch

CNN for stock market prediction using raw data & candlestick graph.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cvcnet

[TMM2021] Cross View Capture for Stereo Image Super-Resolution

dafl

A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).

data-science-notes

数据科学的笔记以及资料搜集

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-1

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook-chinese

Deep Learning Book Chinese Translation

depth-estimation-light-field

:heavy_check_mark:A collection of code of depth estimation using light field data.

dexined

Tensorflow Implementation of DexiNed for Edge Detection WACV'20 (also in PyTorch )