Disentangled Lifespan Face Synthesis

Last update: Sep 20, 2022

Related tags

Deep Learning DLFS

Overview

Disentangled Lifespan Face Synthesis

Project Page | Paper

Demo on Colab

Preparation

Please follow this github to prepare the environments and dataset.

Training and Testing (link to the pretrained models in the colab)

training (please modify --dataroot, --name):

sh train_distan.sh

testing (please modify --dataroot, --name, --which_epoch, and --checkpoing_dir):

sh test_distan.sh

Reference

If you find this repo helpful, please consider citing:

@inproceedings{he2021dlfs,
  title={Disentangled Lifespan Face Synthesis},
  author={He, Sen and Liao, Wentong and Yang, Michael and Song, Yi-Zhe and Rosenhahn, Bodo and Xiang, Tao},
  booktitle={ICCV},
  year={2021}
}

Acknowledgements

This repository is based on LFS.

Owner

何森

Research fellow at CVSSP, University of Surrey, UK.

GitHub Repository

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Disentangled Lifespan Face Synthesis

Related tags

Overview

Disentangled Lifespan Face Synthesis

Project Page | Paper

Demo on Colab

Preparation

Training and Testing (link to the pretrained models in the colab)

Reference

Acknowledgements

Owner

何森

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

A powerful framework for decentralized federated learning with user-defined communication topology

Implementation of the paper ''Implicit Feature Refinement for Instance Segmentation''.

Revisiting Self-Training for Few-Shot Learning of Language Model.

Single object tracking and segmentation.

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Buffon’s needle: one of the oldest problems in geometric probability

Personals scripts using ageitgey/face_recognition

Explainer for black box models that predict molecule properties

PyTorch implementation of the TTC algorithm

Ground truth data for the Optical Character Recognition of Historical Classical Commentaries.

[CVPR 2022] Unsupervised Image-to-Image Translation with Generative Prior

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.

Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

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Hybrid Neural Fusion for Full-frame Video Stabilization

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