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

Official implementation for paper Render In-between: Motion Guided Video Synthesis for Action Interpolation

Code and description for my BSc Project, September 2021

[CVPR2021] De-rendering the World's Revolutionary Artefacts

Predict multi paths to a moving person depending on his trajectory history.

Tensorflow implementation of our method: "Triangle Graph Interest Network for Click-through Rate Prediction".

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning

Pytorch implementation for reproducing StackGAN_v2 results in the paper StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

This is the repository for our paper Ditch the Gold Standard: Re-evaluating Conversational Question Answering

We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.

VLG-Net: Video-Language Graph Matching Networks for Video Grounding

Compute descriptors for 3D point cloud registration using a multi scale sparse voxel architecture

An implementation for the loss function proposed in Decoupled Contrastive Loss paper.

Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

Boosted neural network for tabular data

HandFoldingNet ✌️ : A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton

FluxTraining.jl gives you an endlessly extensible training loop for deep learning

A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.