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Realistic post-processing of rendered 3D scenes

Published: 12 August 2018 Publication History

Editorial Notes

The authors have requested minor, non-substantive changes to the VoR and, in accordance with ACM policies, a Corrected VoR was published on November 9, 2021. For reference purposes the VoR may still be accessed via the Supplemental Material section on this page.

Abstract

In this talk, we show a realistic post-processing rendering based on generative adversarial network CycleWGAN. We propose to use CycleGAN architecture and Wasserstein loss function with additional identity component in order to transfer graphics from Grand Theft Auto V to the older version of GTA video-game, Grand Theft Auto: San Andreas. We aim to present the application of modern art style transfer and unpaired image-to-image translations methods for graphics improvement using deep neural networks with adversarial loss.

Supplementary Material

3230764-vor (3230764-vor.pdf)
Version of Record for "Realistic post-processing of rendered 3D scenes" by Feygina et al., SIGGRAPH '18: ACM SIGGRAPH 2018 Posters.
MP4 File (42-162.mp4)

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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. NIPS, 2672--2680.
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Agrim Gupta, Justin Johnson, Alexandre Alahi, and Li Fei-Fei. 2017. Characterizing and Improving Stability in Neural Style Transfer. arXiv preprint arXiv:1705.02092 (2017).
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Aaron Hertzmann, Charles E Jacobs, Nuria Oliver, Brian Curless, and David H Salesin. 2001. Image analogies. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques. ACM, 327--340.
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Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros. 2016. Image-to-image translation with conditional adversarial networks. arXiv preprint arXiv:1611.07004 (2016).
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Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jungkwon Lee, and Jiwon Kim. 2017. Learning to discover cross-domain relations with generative adversarial networks. arXiv preprint arXiv.1703.05192 (2017).
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Rockstar North Rockstar Games. 2013. Grand Theft Auto: V. http://www.rockstargames.com/V/. {Online; accessed 17-09-2013}.
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War Drum Studios Rockstar North. 2004. Grand Theft Auto: San Andreas. http://www.rockstargames.com/sanandreas/. {Online; accessed 26-10-2004}.
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Libin Sun and James Hays. 2017. Super-resolution Using Constrained Deep Texture Synthesis. arXiv preprint arXiv:1701.07604 (2017).
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Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros. 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv.1703.10593 (2017).

Cited By

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  • (2023)Efficient Blind Image Super-ResolutionAdvances in Computational Intelligence10.1007/978-3-031-43078-7_19(229-240)Online publication date: 1-Oct-2023
  • (2022)Classification via Compressed Latent Space2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI)10.1109/SAMI54271.2022.9780738(000389-000394)Online publication date: 2-Mar-2022
  • (2019)Multi-theme generative adversarial terrain amplificationACM Transactions on Graphics10.1145/3355089.335655338:6(1-14)Online publication date: 8-Nov-2019

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cover image ACM Conferences
SIGGRAPH '18: ACM SIGGRAPH 2018 Posters
August 2018
148 pages
ISBN:9781450358170
DOI:10.1145/3230744
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 12 August 2018

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Author Tags

  1. GAN
  2. computer graphics
  3. post-processing rendering

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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View all
  • (2023)Efficient Blind Image Super-ResolutionAdvances in Computational Intelligence10.1007/978-3-031-43078-7_19(229-240)Online publication date: 1-Oct-2023
  • (2022)Classification via Compressed Latent Space2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI)10.1109/SAMI54271.2022.9780738(000389-000394)Online publication date: 2-Mar-2022
  • (2019)Multi-theme generative adversarial terrain amplificationACM Transactions on Graphics10.1145/3355089.335655338:6(1-14)Online publication date: 8-Nov-2019

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