The engineering required to render a human face in real-time
In short: Software researcher Doug Roble debuts DigiDoug, a 3D digital likeness so precise it captures the movement of blood flow and individual eyelashes. This demo explores how deep neural networks can bridge the gap between data and believable human expression.
The technology behind DigiDoug relies on an inertial motion capture suit combined with enormous datasets to power deep neural networks. This allows for a real-time rendering that maintains accuracy down to the scale of skin pores and wrinkles.
Beyond mere aesthetics, the system is designed to replicate complex human emotions. The tech has significant implications for various industries, including the creation of more realistic virtual assistants and high-fidelity cinematic effects.
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Sources
- Summary by Intellect · source: Digital humans that look just like us | Doug Roble
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