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2dasl

The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）

3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

3dface

This repository contains the dataset including the pair of 2D face image and its corresponding 3D face geometry model.

3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

3dmm_edges

3dmm_edges-1

Matlab implementation of algorithm for fitting 3D Morphable Model to images using edge features

adversarialnetspapers

The classical papers and codes about generative adversarial nets

arxiv2020-rife

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

awesome-gans

Awesome Generative Adversarial Networks with tensorflow

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

basel-face-pipeline

bi-bpt

caffe-facialkp

Facial keypoints extraction using Caffe

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。

cogan

cogan-tensorflow

Implement Coupled Generative Adversarial Networks in Tensorflow

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

croppedyale

cvae-gan_tensorlayer

A CVAE-GAN implementation with tensorlayer

cyclegan-1

Tensorflow implementation of CycleGANs

dat

data

deblurgan

Image Deblurring using Generative Adversarial Networks

deep-image-prior

Image restoration with neural networks but without learning.

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deeplearning_study

学习深度学习用

deeplearningforfun

Implementation of some interesting ideas of deeplearning with MXNet

deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

denseposeinstalltion

How to Install DensePose