In this paper, we aim at solving the multi-domain image-to-image translation problem by a single GAN-based model in an unsupervised manner.
May 29, 2018 · In this paper, we aim at solving the multi-domain image-to-image translation problem by a single GAN-based model in an unsupervised manner. In ...
In this paper, we propose a unified framework for learning to generate diverse outputs using unpaired training data and allow for simultaneous multi-domain ...
This is a PyTorch implementation of my paper A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation (UFDN) accepted by NIPS 2018.
Dec 6, 2017 · Besides the high efficiency, we show the comparable (or even better) image translation results over state-of-the-arts on various challenging ...
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Abstract—We address the open problem of unsupervised multimodal multi-domain image-to-image (I2I) translation using a generative adversarial network.
In this paper, we propose an unsupervised network that consists of one pair of generator and discriminator as well as encoders to achieve multi-domain image ...
Apr 16, 2021 · We propose an effective framework for unsupervised image-to-image translation across multiple domains, called MDT.
May 16, 2024 · The objective of multi-domain image-to-image translation is to learn the mapping from a source domain to a target domain in multiple image domains.
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What is multi domain image-to-image translation?
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Feb 6, 2022 · We propose a novel multi-domain unsupervised image-to-image translation (MDUIT) framework that leverages the decomposed content feature and appearance adaptive ...
Missing: Less Unified Model