PR-386: Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
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The document discusses light field networks and their role in neural scene representations, emphasizing the pinhole camera model and the neural radiance field (NeRF) concept. It outlines the use of Plucker coordinates, depth retrieval methods, and a meta-learning framework for enhancing training results. The author presents a structured approach to understanding these advanced rendering techniques in computer vision.
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![Meta Learning Framework
Hypernetwork Framework
[Train Dataset]
[Functions]
[Training]](https://image.slidesharecdn.com/pr386-220518010224-123d7d55/85/PR-386-Light-Field-Networks-Neural-Scene-Representations-with-Single-Evaluation-Rendering-23-320.jpg)
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PR-386: Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
- 1. Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering Hyeongmin Lee Yonsei University 2022.5.15
- 4. Pinhole Camera Model Pinhole Camera Model
- 5. Pinhole Camera Model Normalized Plane
- 6. Pinhole Camera Model Intrinsic Parameter
- 7. Pinhole Camera Model Intrinsic Parameter
- 8. Pinhole Camera Model Extrinsic Parameter
- 9. NeRF
- 10. NeRF Neural Radiance Field
- 11. NeRF Ray
- 12. NeRF Ray
- 14. Light Field Networks Light Field Networks
- 15. Light Field Networks Parametrization of Line • Two 3D Points 𝑃𝑃1 𝑃𝑃2 • One 3D Point & Direction Vector 𝑃𝑃 𝑑𝑑
- 16. Light Field Networks Plucker Coordinate • Direction Vector • A plane containing both the origin and the line 𝑃𝑃 𝑂𝑂 𝑑𝑑 𝑚𝑚
- 17. Light Field Networks Light Field Network 𝑡𝑡 𝑟𝑟
- 18. Getting Depth from LFNs
- 19. Getting Depth from LFNs Epipolar Plane
- 20. Getting Depth from LFNs Epipolar Plane
- 22. Meta Learning Framework Lambertian Space
- 23. Meta Learning Framework Hypernetwork Framework [Train Dataset] [Functions] [Training]
- 24. Meta Learning Framework Results https://www.vincentsitzmann.com/lfns/
- 25. Thank You!