3D Gaussian Splatting: Hands-on Course (Desktop Edition)
2.8 هزار بار بازدید -
3 ماه پیش
-
This is a session for
This is a session for 3D Gaussian Splatting, Hands-on. It highlights four main things:
- the importance of filtering out noise in technology advancements, specifically in the rapidly evolving field of 3D Gaussian Splating.
- the concepts like Structure from Motion, Gaussian Splat, and 3D Point Clouds, emphasizing their role in 3D modeling and rendering.
- How to use Post-Shot software for 3D reconstruction, training Gaussian splats, adjusting parameters, and exporting point clouds for further analysis.
- A discussion on sharing resources, joining the 3D community, and recommendations for Python libraries to compute Gaussian splats.
🍇 RESOURCES
All Material (.pdf, dataset, slides): https://learngeodata.eu/3d-gaussian-s...
3D Point Cloud Feature Extraction with Python:
- Part 1: 3D Point Cloud Feature Extraction Tut...
- Part 2: How to Build a 3D Interactive App in ...
3D Tutorial Series: https://learngeodata.eu/3d-tutorials/
🙋 FOLLOW ME
Linkedin: LinkedIn: florent-poux-point-cloud
Medium: Medium: florentpoux
Github: https://github.com/florentPoux
Research: https://scholar.google.com/citations?...
WHO AM I?
If we haven’t yet before - Hey 👋 I’m Florent, a professor-turned-entrepreneur, and I’ve somehow become one of the most-followed 3D expert. Through my videos here on this channel and my writing, I share evidence-based strategies and tools to help you be better coders and 3D innovators.
CHAPTERS 🌱
[00:00:00]: Introduction to 3D Gaussian Splating
[00:01:25]: Overview of Photogrammetry and Structure from Motion
[00:04:01]: Concepts of Gaussian Splating and Point Clouds
[00:06:31]: Back-end Solutions for Processing 3D Data
[00:07:52]: Rasterization and Stochastic Gradient Descent
[00:09:20]: Differentiable Gaussian Rasterizer and Loss Computation
[00:10:36]: Densification and Pruning of the Data Set
[00:13:18]: Setting Up Post-Shot Software and Data Import
[00:16:03]: Rendering and Exporting Point Clouds
[00:19:57]: Point Cloud Processing
[00:47:30]: Q&A 3D Gaussian Splatting
[00:55:18]: 3D Gaussian Splatting - Conclusion
- the importance of filtering out noise in technology advancements, specifically in the rapidly evolving field of 3D Gaussian Splating.
- the concepts like Structure from Motion, Gaussian Splat, and 3D Point Clouds, emphasizing their role in 3D modeling and rendering.
- How to use Post-Shot software for 3D reconstruction, training Gaussian splats, adjusting parameters, and exporting point clouds for further analysis.
- A discussion on sharing resources, joining the 3D community, and recommendations for Python libraries to compute Gaussian splats.
🍇 RESOURCES
All Material (.pdf, dataset, slides): https://learngeodata.eu/3d-gaussian-s...
3D Point Cloud Feature Extraction with Python:
- Part 1: 3D Point Cloud Feature Extraction Tut...
- Part 2: How to Build a 3D Interactive App in ...
3D Tutorial Series: https://learngeodata.eu/3d-tutorials/
🙋 FOLLOW ME
Linkedin: LinkedIn: florent-poux-point-cloud
Medium: Medium: florentpoux
Github: https://github.com/florentPoux
Research: https://scholar.google.com/citations?...
WHO AM I?
If we haven’t yet before - Hey 👋 I’m Florent, a professor-turned-entrepreneur, and I’ve somehow become one of the most-followed 3D expert. Through my videos here on this channel and my writing, I share evidence-based strategies and tools to help you be better coders and 3D innovators.
CHAPTERS 🌱
[00:00:00]: Introduction to 3D Gaussian Splating
[00:01:25]: Overview of Photogrammetry and Structure from Motion
[00:04:01]: Concepts of Gaussian Splating and Point Clouds
[00:06:31]: Back-end Solutions for Processing 3D Data
[00:07:52]: Rasterization and Stochastic Gradient Descent
[00:09:20]: Differentiable Gaussian Rasterizer and Loss Computation
[00:10:36]: Densification and Pruning of the Data Set
[00:13:18]: Setting Up Post-Shot Software and Data Import
[00:16:03]: Rendering and Exporting Point Clouds
[00:19:57]: Point Cloud Processing
[00:47:30]: Q&A 3D Gaussian Splatting
[00:55:18]: 3D Gaussian Splatting - Conclusion
3 ماه پیش
در تاریخ 1403/03/04 منتشر شده
است.
2,850
بـار بازدید شده