English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we introduce a neural rendering pipeline for transferring thefacial expressions, head pose, and body movements of one person in a sourcevideo to another in a target video. We apply our method to the challenging caseof Sign Language videos: given a source video of a sign language user, we canfaithfully transfer the performed manual (e.g., handshape, palm orientation,movement, location) and non-manual (e.g., eye gaze, facial expressions, mouthpatterns, head, and body movements) signs to a target video in aphoto-realistic manner. Our method can be used for Sign Language Anonymization,Sign Language Production (synthesis module), as well as for reenacting othertypes of full body activities (dancing, acting performance, exercising, etc.).We conduct detailed qualitative and quantitative evaluations and comparisons,which demonstrate the particularly promising and realistic results that weobtain and the advantages of our method over existing approaches.

Neural Sign Reenactor: Deep Photorealistic Sign Language Retargeting