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

Recent advancements in deep learning and computer vision have led to a surgeof interest in generating realistic talking heads. This paper presents acomprehensive survey of state-of-the-art methods for talking head generation.We systematically categorises them into four main approaches: image-driven,audio-driven, video-driven and others (including neural radiance fields (NeRF),and 3D-based methods). We provide an in-depth analysis of each method,highlighting their unique contributions, strengths, and limitations.Furthermore, we thoroughly compare publicly available models, evaluating themon key aspects such as inference time and human-rated quality of the generatedoutputs. Our aim is to provide a clear and concise overview of the currentlandscape in talking head generation, elucidating the relationships betweendifferent approaches and identifying promising directions for future research.This survey will serve as a valuable reference for researchers andpractitioners interested in this rapidly evolving field.

From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and Applications