Mar 2, 2021 · In this paper, we propose Hierarchical Style Disentanglement (HiSD) to address this issue. Specifically, we organize the labels into a ...

In this paper, we pro- pose Hierarchical Style Disentanglement (HiSD) to address this issue. Specifically, we organize the labels into a hierar- chical tree ...

In this paper, we pro- pose Hierarchical Style Disentanglement (HiSD) to address this issue. Specifically, we organize the labels into a hierar- chical tree ...

Mar 11, 2021 · HiSD is the SOTA image-to-image translation method for both Scalability for multiple labels and Controllable Diversity with impressive disentanglement.

This work introduces the differences and connections between image-to-image translation and style transfer, and concludes that image-to-image translation ...

In this paper, we propose Hierarchical Style Disentanglement (HiSD) to address this issue. Specifically, we organize the labels into a hierarchical tree ...

We use the linear interpolation between the style codes extracted from two different reference images to observe the continuous manipulations of the output.

Facial manipulation aims at constrained modification of the face of a given image/video to present the desired visual content, such as identity, expression, ...

Hierarchical Style Disentanglement, or HiSD, aims to disentangle different styles in image-to-image translation models. It organizes the labels into a ...

Mar 30, 2021 · HiSD controls the image-to-image translation process via Hierarchical Style Disentanglement based on tags, attributes and styles.