Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

NeRFs- Neural Radiance Fields - Paper Explained

Aladdin Persson via YouTube

Start learning Write review
Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More → Boot.dev Ad

Learn Backend Development Part-Time, Online

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This video explains how Neural Radiance Fields reconstruct 3D scenes from multi-view images and render new viewpoints. It covers the NeRF architecture, volume rendering, loss function, positional encoding, and hierarchical sampling.

Syllabus

- Introduction
- Goal of NeRFs
- NeRF network architecture
- The key idea you need to understand
- How NeRFs learn and work
- Intuition behind volume rendering
- Loss function
- Trick #1: Positional Encoding
- Trick #2: Hierarchical sampling
- Ending

Taught by

Aladdin Persson

Reviews

5.0 rating, based on 1 Class Central review

Start your review of NeRFs- Neural Radiance Fields - Paper Explained

  • Anonymous
    Very well explained, very interesting course if you are just starting on the subject of NeRFs. The course avoids technical mathematics unless necessary. Overall great introduction to NeRFs.
Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.