LADN

Makeup Transfer Model

An implementation of a deep learning model for facial makeup and removal transfer

This is the implementation for Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

GitHub

181 stars
7 watching
26 forks
Language: Python
last commit: almost 3 years ago

Related projects:

Repository Description Stars
honlan/dmt This project enables makeup transfer using a Generative Adversarial Network to disentangle facial identity and makeup features. 118
wtjiang98/psgan An implementation of a deep learning-based makeup transfer algorithm that can robustly handle pose and expression variations in images. 727
dmitryulyanov/age This repository provides code for training Generative Adversarial Networks (GANs) for various image datasets, including face generation. 285
chenyu-yang-2000/elegant This implementation provides a framework for generating realistic makeup transfer results using Generative Adversarial Networks (GANs) 161
huicongzhang/stdan Deblurring algorithm for videos using a neural network 52
lelechen63/atvgnet This repository provides implementations of neural networks used in cross-modal talking face generation 258
cszn/ircnn This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. 600
minyuanye/siun This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture 162
pathak22/context-encoder Unsupervised feature learning by image inpainting using Generative Adversarial Networks (GANs) 885
anilbas/3dmmasstn A tool for using 3D Morphable Models as spatial transformers within convolutional neural networks for face image processing 279
hongyanggao/lgcn An implementation of learnable graph convolutional networks for efficient graph processing 46
xiaolonw/adversarial-frcnn A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. 482
wanglimin/untrimmednet A system for recognizing and detecting actions in untrimmed videos using a weakly supervised learning approach. 162
lingyanruan/lakdnet An image deblurring model that revisits the use of convolutional neural networks to improve efficiency and performance compared to transformers. 97
joanshen0508/deep-semantic-face-deblurring Develops a deep learning-based deblurring technique for face images using semantic parsing and multiple loss functions. 46