Learning based compression of surface light fields for real-time rendering of global illumination scenes-Reference-Cited by-同舟云学术

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Learning based compression of surface light fields for real-time rendering of global illumination scenes

Published:2013 Issue: Volume: Page:
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Container-title:SIGGRAPH Asia 2013 Technical Briefs on - SA '13
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Author:

Miandji Ehsan,Kronander Joel,Unger Jonas

Publisher

ACM Press

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online Learning of Neural Surface Light Fields Alongside Real-Time Incremental 3D Reconstruction;IEEE Robotics and Automation Letters;2023-06

2. SIGNET: Efficient Neural Representation for Light Fields;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

3. Spherical Gaussian Light‐field Textures for Fast Precomputed Global Illumination;Computer Graphics Forum;2020-05

4. A Unified Framework for Compression and Compressed Sensing of Light Fields and Light Field Videos;ACM Transactions on Graphics;2019-06-15

5. Deep Surface Light Fields;Proceedings of the ACM on Computer Graphics and Interactive Techniques;2018-07-25

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