This paper proposes a universal reg- ularization technique called maximum spatial perturbation con- sistency (MSPC), which enforces a spatial perturbation ...

Mar 23, 2022 · This paper proposes a universal regularization technique called maximum spatial perturbation consistency (MSPC), which enforces a spatial perturbation function.

This repository is by Yanwu Xu and contains the PyTorch source code to reproduce the experiments in our CVPR2022 paper Maximum Spatial Perturbation Consistency.

This paper pro- poses a universal regularization technique called maximum spatial perturbation consistency (MSPC), which enforces a spatial perturbation ...

This paper proposes a universal regularization technique called maximum spatial perturbation consistency (MSPC), which enforces a spatial perturbation function.

A universal regularization technique called maximum spatial perturbation consistency (MSPC), which enforces a spatial perturgation function and the ...

Supplementary of “Maximum Spatial Perturbation Consistency for Unpaired. Image-to-Image Translation”. Algorithm 1 Two steps of optimization of mini-batch MSP.

Xu et al. [25] developed a universal regularization technique called maximum spatial perturbation consistency (MSPC), which enforced a spatial perturbation ...

A common goal of unpaired image-to-image translation is to preserve content consistency between source images and translated images while mimicking the ...

Unpaired image-to-image translation aims to translate an input image to another domain such that the output image looks like an image from another domain ...