We propose an innovative representation-guided photo-to-caricature translation framework based on unpaired images.
We developed a representation-guided generative adversarial network (RG-GAN) designed to create a vivid caricature appearance from a photo with an imitated ...
The representation-guided scheme is designed to transfer the selected caricature style. To improve image synthesis quality, we introduce one feature-pyramid ...
Nov 1, 2018 · In this paper, we propose the first Generative Adversarial Network (GAN) for unpaired photo-to-caricature translation, which we call CariGANs.
Missing: Representation- guided
In CariGeoGAN, we use the PCA representation of facial land- marks instead of landmarks themselves as the input and output of. GAN. This representation ...
Representation-guided generative adversarial network for unpaired photo-to-caricature translation. Comput. Electr. Eng. Pub Date : 2021-01-28
This project aims to evaluate the robustness of the Pix2Pix model by applying the Pix1pix model to datasets consisting of cartoonized images, ...
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Representation-guided generative adversarial network for unpaired photo-to-caricature translation. record by Hongzhi Liu • Representation-guided generative ...
In this paper, we propose the first Generative Adversarial Network (GAN) for unpaired photo-to-caricature translation, which we call CariGANs.
We present an approach for learning to translate faces in the wild from the source photo domain to the target caricature domain with different styles, which can ...