DeepAI AI Chat
Log In Sign Up

Exemplar Guided Unsupervised Image-to-Image Translation

by   Liqian Ma, et al.
ETH Zurich

Image-to-image translation task has become a popular topic recently. Most works focus on either one-to-one mapping in an unsupervised way or many-to-many mapping in a supervised way. However, a more practical setting is many-to-many mapping in an unsupervised way, which is harder due to the lack of supervision and the complex inner and cross-domain variations. To alleviate these issues, we propose the Exemplar Guided UNsupervised Image-to-image Translation (EG-UNIT) network which conditions the image translation process on an image in the target domain. An image representation is assumed to comprise both content information which is shared across domains and style information specific to one domain. By applying exemplar-based adaptive instance normalization to the shared content representation, EG-UNIT manages to transfer the style information in the target domain to the source domain. Experimental results on various datasets show that EG-UNIT can indeed translate the source image to diverse instances in the target domain with semantic consistency.


page 2

page 7

page 8

page 11

page 12

page 13


Multimodal Unsupervised Image-to-Image Translation

Unsupervised image-to-image translation is an important and challenging ...

Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator

Unsupervised image-to-image translation is used to transform images from...

Towards Instance-level Image-to-Image Translation

Unpaired Image-to-image Translation is a new rising and challenging visi...

Memory-guided Unsupervised Image-to-image Translation

We present a novel unsupervised framework for instance-level image-to-im...

Powers of layers for image-to-image translation

We propose a simple architecture to address unpaired image-to-image tran...

MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation

Unpaired multimodal image-to-image translation is a task of translating ...

Global and Local Alignment Networks for Unpaired Image-to-Image Translation

The goal of unpaired image-to-image translation is to produce an output ...