Difference between revisions of "Google Summer of Code/2024"
From BRL-CAD
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* [[User:Bralani/GSoC2024/Project|Project Plan]] | * [[User:Bralani/GSoC2024/Project|Project Plan]] | ||
* [[User:Bralani/GSoC2024/Log|Dev Log]] | * [[User:Bralani/GSoC2024/Log|Dev Log]] | ||
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| + | == Neural rendering == | ||
| + | * Description: The project aims to explore the feasibility of using neural networks to accelerate ray tracing for 3D rendering, investigating whether neural nets can be leveraged for arbitrary shot line queries more accurately and efficiently than direct computation. | ||
| + | * Org: BRL-CAD | ||
| + | * Student: [[User:Jin Ke| Jin Ke]] | ||
| + | * [https://drive.google.com/file/d/12YM3_aXDnFhSo3UilPz1ImUy1P6xmmGZ/view?usp=sharing Project Plan] | ||
| + | * [[User:Jin_Ke|Dev Log]] | ||
Revision as of 10:27, 9 June 2024
GSoC 2024 With BRL-CAD
BRL-CAD was accepted as an umbrella mentoring organization for the Google Summer of Code! This year, we accepted 9 students to work on IfcOpenShell, BRL-CAD, KiCad, Appleseed, Manifold and OpenSCAD.
Accepted Projects
Neural rendering
- Description: The project aims to explore the feasibility of using neural networks to accelerate ray tracing for 3D rendering, investigating whether neural nets can be leveraged for arbitrary shot line queries more accurately and efficiently than direct computation.
- Org: BRL-CAD
- Student: User:Bralani
- Abstract
- Project Plan
- Dev Log
Neural rendering
- Description: The project aims to explore the feasibility of using neural networks to accelerate ray tracing for 3D rendering, investigating whether neural nets can be leveraged for arbitrary shot line queries more accurately and efficiently than direct computation.
- Org: BRL-CAD
- Student: Jin Ke
- Project Plan
- Dev Log
