❤️ Support the channel ❤️ Paper: Full title: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization ⭐ Deep Learning Specialization 📘 MLOps Specialization 📘 GAN Specialization 📘 NLP Specialization ✨ Free Resources that are great: NLP: CV: Deployment: FastAI: 💻 My Deep Learning Setup and Recording Setup: GitHub Repository: ✅ One-Time Donations: Paypal: ▶️ You Can Connect with me on: Twitter - LinkedIn - Github - Timestamps: 0:00 - Introduction 0:54 - Goal of NeRFs 2:36 - NeRF network architecture 4:35 - The key idea you need to understand 6:17 - How NeRFs learn and work 12:15 - Intuition behind volume rendering 15:15 - Loss function 15:55 - Trick #1: Positional Encoding 17:36 - Trick #2: Hierarchical sampling 19:35 - Ending











