SpMT
Makeup Transfer System
This code implements a PyTorch-based makeup transfer system using semantic-aware correspondence
PyTorch code for "Semi-parametric Makeup Transfer via Semantic-aware Correspondence"
34 stars
4 watching
4 forks
Language: Python
last commit: almost 3 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of a deep learning-based makeup transfer algorithm that can robustly handle pose and expression variations in images. | 737 |
| Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |
| A PyTorch implementation of a real-time semantic segmentation model using ENet architecture | 392 |
| A PyTorch implementation of cycle and semi-supervised GANs for domain transfer between MNIST and SVHN datasets | 433 |
| Implementation of a transformer-based translation model in PyTorch | 240 |
| This implementation provides a framework for generating realistic makeup transfer results using Generative Adversarial Networks (GANs) | 165 |
| This project enables makeup transfer using a Generative Adversarial Network to disentangle facial identity and makeup features. | 118 |
| An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
| A PyTorch implementation of a segmentation network architecture | 588 |
| PyTorch implementation of DeepLab v2 for semantic segmentation on COCO-Stuff and PASCAL VOC datasets | 1,098 |
| PyTorch implementation of PNASNet-5 architecture | 317 |
| Implementation of semantic segmentation models and datasets using PyTorch | 1,705 |
| This repository provides a PyTorch implementation of an image manipulation technique using a pretrained StyleGAN model. | 380 |
| Decoupled Neural Interfaces using Synthetic Gradients for PyTorch | 236 |
| A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |