A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation [article]

Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang
2018 arXiv   pre-print
We present a novel and unified deep learning framework which is capable of learning domain-invariant representation from data across multiple domains. Realized by adversarial training with additional ability to exploit domain-specific information, the proposed network is able to perform continuous cross-domain image translation and manipulation, and produces desirable output images accordingly. In addition, the resulting feature representation exhibits superior performance of unsupervised
more » ... adaptation, which also verifies the effectiveness of the proposed model in learning disentangled features for describing cross-domain data.
arXiv:1809.01361v3 fatcat:mohw4eefg5ajrotb6dlivsr7du