NeRFs- Neural Radiance Fields - Paper Explained

Explore the groundbreaking concept of Neural Radiance Fields (NeRFs) in this informative video explanation. Delve into the paper "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis" and gain a comprehensive understanding of this innovative technique for 3D scene representation and view synthesis. Learn about the NeRF network architecture, key concepts, learning process, volume rendering, loss function, and advanced tricks like positional encoding and hierarchical sampling. Discover how NeRFs revolutionize the field of computer vision and graphics by enabling high-quality novel view synthesis from a sparse set of input images.

- 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