Nvidia Instant-NGP - Create Your Own NeRF Scene From a Video or Images - Hands-On Tutorial
Offered By: Prodramp via YouTube
Course Description
Overview
Learn how to create NeRF (Neural Radiance Fields) scenes from videos or images using NVIDIA's Instant-ngp on Ubuntu 22.04. Follow this hands-on tutorial to set up the required environment, build the instant-ngp library, convert video to NeRF data, and explore various NeRF rendering options. Discover techniques for debug visualization, saving snapshots, analyzing histograms, and generating gigapixel images. Gain practical experience with CUDA, Python 3.9, Colmap, and FFmpeg while diving into the world of neural radiance fields and 3D scene reconstruction.
Syllabus
- Quick Demo
- NeRF intro
- Content details
- Setting Ubuntu 22.04 Environment
- Building instant-ngp library
- Convert video to NeRF Data
- NeRF Scene Demo starts
- NeRF Rendering Options
- Debug Visualization
- Saving NeRF Snapshot
- NeRF Histogram
- NeRF Volume
- NeRF Gigapixel Images
- Conclusion
Taught by
Prodramp
Related Courses
NeRF - Representing Scenes as Neural Radiance Fields for View SynthesisYannic Kilcher via YouTube NeRFs- Neural Radiance Fields - Paper Explained
Aladdin Persson via YouTube Neural Radiance Fields for View Synthesis
Andreas Geiger via YouTube Learning 3D Reconstruction in Function Space - Long Version
Andreas Geiger via YouTube Turning the Internet Into 3D - 3D Content with NeRF and Gaussian Splatting
Linux Foundation via YouTube