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Piecewise-polynomial coupling layers for warp-predicting neural networks |
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Kernel-predicting convolutional neural networks for denoising |
Thijs Vogels, Jan Novak, Fabrice Rousselle |
2020-10-06 |
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Denoising Monte Carlo renderings using machine learning with importance sampling |
Thijs Vogels, Fabrice Rousselle, Mark Meyer, Jan Novak |
2020-09-29 |
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Adaptive sampling in Monte Carlo renderings using error-predicting neural networks |
Thijs Vogels, Fabrice Rousselle, Jan Novak, Mark Meyer, Alex Harvill |
2020-07-07 |
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Denoising Monte Carlo renderings using neural networks with asymmetric loss |
Thijs Vogels, Fabrice Rousselle, Jan Novak, Mark Meyer, Alex Harvill |
2020-06-30 |
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Multi-scale architecture of denoising monte carlo renderings using neural networks |
Thijs Vogels, Fabrice Rousselle, Jan Novak, Mark Meyer, Alex Harvill |
2020-06-02 |
| 10621695 |
Video super-resolution using an artificial neural network |
Christopher Richard Schroers, Yifan Wang, Federico Perazzi, Alexander Sorkine Hornung |
2020-04-14 |
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Denoising monte carlo renderings using progressive neural networks |
Thijs Vogels, Fabrice Rousselle, Mark Meyer, Jan Novak |
2020-03-31 |
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Denoising Monte Carlo renderings using generative adversarial neural networks |
Thijs Vogels, Fabrice Rousselle, Mark Meyer, Jan Novak |
2020-03-10 |
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Denoising Monte Carlo renderings using machine learning with importance sampling |
Thijs Vogels, Fabrice Rousselle, Mark Meyer, Jan Novak |
2020-02-25 |