In Development

Scene Engine: Automated Data-to-Scene Bridge

A longitudinal human digital twin simulation pipeline. Generate interactive, high-fidelity 3D vignettes from raw transcripts and audio data using generative physical AI and WebGPU.

Core Features

A fully headless pipeline for procedural 3D vignette generation.

1
Real-Time Facial Animation

gRPC-driven vocal performances using the NVIDIA Audio2Face-3D microservice for highly accurate, low-latency lip sync and facial mesh deformation.

2
Emotion Blending & Anti-Jitter

Mathematical blending equations mix explicit transcript emotional markers with automatically detected audio emotions, smoothed using a VectorizedOneEuroFilter to eliminate jitter.

3
Automated Asset Conversion

A headless pipeline using OpenUSD APIs and usd2gltf to seamlessly convert complex USD stages into web-optimized glTF 2.0 and GLB formats.

4
High-Fidelity Web Rendering

A Next-gen TypeScript and React frontend utilizing WebGPU to load massive GLB models and drive an unlimited number of facial blendshapes at a consistent 60+ FPS.

Tech Stack

Combining cutting-edge graphics algorithms with scalable web infrastructure.

OpenUSD

Python-based data translation and asset conversion pipeline.

Python 3.10+

NumPy and SciPy powering emotion blending and temporal filtering.

WebGPU

React & Three.js/Babylon.js delivering next-gen browser graphics.

NVIDIA DGX

Audio2Face-3D inference and Multi-GPU path tracing.

Currently in development phase — integrating Audio2Face microservices and solidifying the automated USD-to-GLB conversion pipeline.