Omniverse ACE eases avatar development, delivering the AI building blocks necessary to add intelligence and animation to any avatar, built on virtually any engine and deployed on any cloud. These AI assistants can be designed for organizations across industries, enabling organizations to enhance existing workflows and unlock new business opportunities.
ACE is one of several generative AI applications that will help creators accelerate the development of 3D worlds and the metaverse. Members who join the program will receive access to the prerelease versions of NVIDIA’s AI microservices, as well as the tooling and documentation needed to develop cloud-native AI workflows for interactive avatar applications.
Bring Interactive AI Avatars to Life With Omniverse ACE
Methods for developing avatars often require expertise, specialized equipment and manually intensive workflows. To ease avatar creation, Omniverse ACE enables seamless integration of NVIDIA’s AI technologies — including pre-built models, toolsets and domain-specific reference applications — into avatar applications built on most engines and deployed on public or private clouds.
Since it was unveiled in September, Omniverse ACE has been shared with select partners to capture early feedback. Now, NVIDIA is looking for partners who will provide feedback on the microservices, collaborate to improve the product, and push the limits of what’s possible with lifelike, interactive digital humans.
The early-access program includes access to the prerelease versions of ACE animation AI and conversational AI microservices, including:
- 3D animation AI microservice for third-party avatars, which uses Omniverse Audio2Face generative AI to bring to life characters in Unreal Engine and other rendering tools by creating realistic facial animation from just an audio file.
- 2D animation AI microservice, called Live Portrait, enables easy animation of 2D portraits or stylized human faces using live video feeds.
- Text-to-speech microservice uses NVIDIA Riva TTS to synthesize natural-sounding speech from raw transcripts without any additional information, such as patterns or rhythms of speech.
Program members will also get access to tooling, sample reference applications and supporting resources to help get started.
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