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Keep shoppingNeural Radiance Fields (NeRF)
853 students
Neural Radiance Fields (NeRF)
Introduction to NeRF, volumetric rendering, and 3D reconstruction
Created byMaxime Vandegar
Last updated 3/2023
English
What you'll learn
- Introduction to reconstruction
- Introduction to 3D reconstruction
- Introduction to Neural Radiance Fields (NeRF)
- Novel view synthesis with NeRF
- 3D reconstruction with NeRF (mesh extraction)
- Introduction to 3D rendering
Explore related topics
Course content
9 sections • 70 lectures • 10h 2m total length
Requirements
- Basic programming knowledge
- Basic Machine Learning knowledge
Description
Welcome to this course about Neural Radiance Fields (Nerf)!
Neural radiance fields is an innovative technology that is attracting a lot of interest in the world of computer vision. Nerf allows novel view synthesis, and 3D reconstruction, among other things. Since its appearance two years ago, many startups have been created, and as job offers suggest, large technology companies (Meta, Apple, Google, Amazon, ...) are using it.
In this online course, you will discover:
How Nerf models work and how they can be used in various applications
How to train and evaluate a Nerf model
How to generate novel views from an optimized model
How to extract a 3D mesh from an optimized model
How to integrate Nerf into your computer vision projects
Examples of real-world use cases for Nerf in the industry
Our course is designed for developers and scientists who want to learn about Nerf and use it in their projects. We cover all aspects of setting up and using Nerf, from start to finish.
Register now to access our comprehensive online course on Nerf models and learn how this technology can enhance your computer vision projects.
Don't miss this opportunity to learn about the latest advances in computer vision with Nerf!
Who this course is for:
- To engineers and programmers
- To students and researchers
- To entrepreneurs, CEOs and CTOs
- Machine Learning enthusiast