NeRF
Course Index
28 Lessons · 3 Sections
Master Neural Radiance Fields & 3D Gaussian Splatting — the AI techniques turning photos into photorealistic 3D scenes. Covers Instant-NGP, nerfstudio, 3DGS, dynamic NeRF & AR/VR integration. Includes 4 real-data builds from capture to rendering.
28Lessons
3Sections
4Projects
FreeAccess
Section 1NeRF Theory & Core FrameworksLessons 1–10
Lesson 1
What is NeRF?
Lesson 2
NeRF vs Photogrammetry vs 3D Scanning
Lesson 3
Neural Radiance Fields: The Math
Lesson 4
Volume Rendering & Ray Marching
Lesson 5
Camera Pose Estimation: COLMAP
Lesson 6
Original NeRF: Implementation
Lesson 7
Instant-NGP: Fast NeRF Training
Lesson 8
Mip-NeRF & NeRF Variants
Lesson 9
nerfstudio: Modular NeRF Framework
Lesson 10
3D Gaussian Splatting: Introduction
Section 2Gaussian Splatting, Dynamic NeRF & ApplicationsLessons 11–22
Lesson 11
3DGS: Mathematical Foundations
Lesson 12
3DGS Training & Optimisation
Lesson 13
Gaussian Splatting Viewers & Tools
Lesson 14
Dynamic NeRF & 4D Scenes
Lesson 15
NeRF for Outdoor & Urban Scenes
Lesson 16
Semantic NeRF & Language Fields
Lesson 17
NeRF to Mesh: Export Pipeline
Lesson 18
NeRF in AR/VR: Integration
Lesson 19
Generative NeRF: DreamFusion & Instant3D
Lesson 20
NeRF Hardware Requirements & Cloud
Lesson 21
NeRF for Digital Twins
Lesson 22
Comparing NeRF vs 3DGS: 2026 State