DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep Network Article Swipe
Dongjiu Zhang
,
Chuhua Xian
,
Guoliang Luo
,
Yunhui Xiong
,
Chu Han
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.2984771
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.2984771
Ambient occlusion (abbr. AO) plays an important role in realistic rendering applications because AO produces more realistic ambient lighting, which is achieved by calculating the brightness of certain screen parts based on objects' geometry. However, the baseline computation of AO algorithm is time-consuming, which limits its application for real-time rendering. Currently, most AO algorithms are based on screen space to reduce the computational consumption, which leads to unrealistic results due to the usage of artificial features. To overcome these challenges, in this paper, we first create a well-crafted dataset with the pair of deferred shading buffer data and ground-truth AO shaded images. Then, we design an efficient deep neural network for the screen space AO image generation, based on which we further design a Compute Shader Library to compute the shaded AO images. Our extensive experimental results show that our method achieves competent performance than existing screen space ambient or volumetric ambient based AO methods both in visual quality and efficiency.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2020.2984771
- https://ieeexplore.ieee.org/ielx7/6287639/8948470/09052668.pdf
- OA Status
- gold
- Cited By
- 15
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3014317212
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3014317212Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2020.2984771Digital Object Identifier
- Title
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DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep NetworkWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Dongjiu Zhang, Chuhua Xian, Guoliang Luo, Yunhui Xiong, Chu HanList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2020.2984771Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/8948470/09052668.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/8948470/09052668.pdfDirect OA link when available
- Concepts
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Shader, Computer science, Rendering (computer graphics), Computation, Global illumination, Artificial intelligence, Computer vision, Brightness, Computer graphics (images), Ground truth, Algorithm, Optics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
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2024: 3, 2023: 3, 2022: 5, 2021: 3, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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