Dec 12, 2019 · We study the problem of learning disentangled representations for data across multiple domains and its applications in human retargeting.
It is shown that training multi-view CVAEs and encourage latent-consistency guides the image encoding to preserve the semantics of expressions and poses, ...
We study the problem of learning disentangled representations for data across multiple domains and its applications in human retargeting. Our goal is to map ...
We study the problem of learning disentangled representations for data across multiple domains and its applications in human retargeting. Our goal is to map ...
We study the problem of learning disentangled representations for data across multiple domains and its applications in human retargeting. MULTI-VIEW LEARNING.
In this paper, we propose a novel multi-view representation disentangling method that aims to go beyond inductive biases, ensuring both interpretability and ...
People also search for
This paper focuses on disentangled representation learning from multi-view data, which is an interesting and hot topic. However, there are several papers ...
Missing: Human Retargeting
Towards Disentangled Representations for Human Retargeting by Multi-view Learning. We study the problem of learning disentangled representations for data a...
Towards disentangled representations for human retargeting by multi-view learning. C Yang, X Liu, Q Tang, CCJ Kuo. arXiv preprint arXiv:1912.06265, 2019. 8 ...
Towards Disentangled Representations for Human Retargeting by Multi-view Learning. We study the problem of learning disentangled representations for data a...