Maximum Spatial Perturbation for Image-to-Image Translation (Official Implementation)

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Deep Learning MSPC
Overview

MSPC for I2I

This repository is by Yanwu Xu and contains the PyTorch source code to reproduce the experiments in our CVPR2022 paper Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation by Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong* and Kayhan Batmanghelich* (* Equal Contribution)

Purturbation Consistency Spatial Alignment
0.5 0.5

Face Pose Transfer data can be downloaded here

Experiments on real data

To run the code on the face pose transfer data. 1. download the data from above link 2. unzip the data to the ./data folder 3. sh run_gcpert.sh

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Comments
  • Some questions

    Some questions

    When training with multi GPUS (setting gpu_ids=0,1,2,3,4,5,6,7), the following error will be reported:

    RuntimeError: Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight'; but device 1 does not equal 0 (while checking arguments for cudnn_convolution)

    opened by zhanglonghao1992 19
Owner
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