Neural network ambient occlusion
Author:
Affiliation:
1. University of Edinburgh
2. Method Studios
Funder
Marza Animation Planet
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3005358.3005387
Reference13 articles.
1. Image-space horizon-based ambient occlusion
2. Crowbar-Collective 2015. Black mesa. http://www.blackmesasource.com/. Crowbar-Collective 2015. Black mesa. http://www.blackmesasource.com/.
3. Effects & techniques
4. He K. Zhang X. Ren S. and Sun J. 2015. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. CoRR abs/1502.01852. He K. Zhang X. Ren S. and Sun J. 2015. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. CoRR abs/1502.01852.
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1. Efficient Screen Space Ambient Occlusion Generation via Residual network;2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2023-05-12
2. Approximating global illumination with ambient occlusion and environment light via generative adversarial networks;Pattern Recognition Letters;2023-02
3. AOGAN: A generative adversarial network for screen space ambient occlusion;Computational Visual Media;2022-01-06
4. Attentional Conditional Generative Adversarial Network for Ambient Occlusion Approximation;Communications in Computer and Information Science;2022
5. Pyramid HBAO — a Scalable Horizon-based Ambient Occlusion Method;Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2;2021
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