Real-Time Hair Rendering using Sequential Adversarial Networks

ECCV 2018 • Lingyu Wei • Liwen Hu • Vladimir Kim • Ersin Yumer • Hao Li

We present an adversarial network for rendering photorealistic hair as an alternative to conventional computer graphics pipelines. Our deep learning approach does not require low-level parameter tuning nor ad-hoc asset design... (read more)

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METHOD	TYPE
Convolution	Convolutions
GAN	Generative Models

METHOD

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Convolution

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GAN

Generative Models

Real-Time Hair Rendering using Sequential Adversarial Networks

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