Lumi\`ereNet: Lecture Video Synthesis from Audio

Byung-Hak Kim; Varun Ganapathi

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arXiv · 1907.02253

Lumi\`ereNet: Lecture Video Synthesis from Audio

Byung-Hak Kim·Varun Ganapathi

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Abstract

We present Lumi\`ereNet, a simple, modular, and completely deep-learning based architecture that synthesizes, high quality, full-pose headshot lecture videos from instructor's new audio narration of any length. Unlike prior works, Lumi\`ereNet is entirely composed of trainable neural network modules to learn mapping functions from the audio to video through (intermediate) estimated pose-based compact and abstract latent codes. Our video demos are available at [22] and [23].

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Byung-Hak Kim, Varun Ganapathi. 2019-07-04. Lumi\`ereNet: Lecture Video Synthesis from Audio. https://arxiv.org/abs/1907.02253

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