About
-
NVIDIA’s Audio2Face is an Omniverse application that uses a combination of AI technologies to generate facial animation and dialogue lip-sync from an audio source input.
-
The application provides an array of pre- and post-process parameters to fine-tune the animation performance before exporting the result as a geometry cache.
-
Audio2Face requires Windows 64-bit 1909 or above.
Specification
Minimum
CPU
Intel Core i7 (7th Generation) AMD Ryzen 5
CPU Cores
4
RAM
16GB
Storage
50GB SSD
VRAM
8GB
GPU
Any RTX GPU
Recommended
CPU
Intel Core i7 (9th Generation) AMD Ryzen 7
CPU Cores
8
RAM
32GB
Storage
500GB SSD
VRAM
10GB
GPU
GeForce RTX 3070\NVIDIA RTX A4000
Platform OS
Windows
Windows 10
You May Also Like
Related products
-

Omniverse Create
SKU: N/AOmniverse Create is an application built on Omniverse Kit that accelerates advanced scene composition and allows users to interactively assemble, light, simulate, and render scenes in Pixar USD in real-time. Create lets you easily navigate, modify, and render Pixar USD content in a live, synchronous environment. FEATURES: Simplify Scene Composition: Create offers advanced layout tools ...More Information -

Omniverse View
SKU: N/AOmniverse View is a simple, powerful visualization application for reviewing 3D design projects in stunning, physically-accurate photorealism. FEATURES: Design with Ease: Quickly, easily add design elements like trees, grass, or vegetation into a scene with the Paint tool. Translate existing assets you own or from populated View libraries of materials, skies, trees, and foliage. Change ...More Information -

TENSORFLOW
SKU: N/ATensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Easy model building TensorFlow offers multiple levels of abstraction so you can choose the right one ...More Information
Our Customers






























Previous
Next
