EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions

Indexed incrossref

Abstract

The area of portrait image animation, propelled by audio input, has witnessed notable progress in the generation of lifelike and dynamic portraits. Conventional methods are limited to utilizing either audios or facial key points to drive images into videos, while they can yield satisfactory results, certain issues exist. For instance, methods driven solely by audios can be unstable at times due to the relatively weaker audio signal, while methods driven exclusively by facial key points, although more stable in driving, can result in unnatural outcomes due to the excessive control of key point information. In addressing the previously mentioned challenges, in this paper, we introduce a novel approach which we…

Citation impact

42
total citations
FWCI
38.45
Percentile
100%
References
13
Citations per year

Authors

5

Topics & keywords

Keywords
  • Landmark
  • Portrait
  • Computer science
  • Computer graphics (images)
  • Visual arts
  • Human–computer interaction
  • Art
  • Computer vision
No related works found for this paper.