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

Understand

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 named EchoMimic.