High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks

In this paper we propose accelerating live rendering of flame using generative adversarial neural networks. The proposed method targets entertainment and simulation-based training industries whose demands for high fidelity and high frame rate increases steadily. The proposed approach takes image fra...

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Bibliographic Details
Main Authors: Attia, M., Abobakr, A., Wei, L., Saleh, K., Iskander, J., Zhou, H., Nahavandi, D., Hossny, M., Nahavandi, S.
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Generative adversarial networks
Generators
Image resolution
Rendering (computer graphics)
Solid modeling
Training
Online Access:Request full text
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