AI RENDERING from Blender to NeRF | BlenderNeRF Tutorial

Whether a VFX artist, a research fellow or a graphics amateur, BlenderNeRF is the easiest and fastest way to create synthetic NeRF datasets within Blender. Obtain renders and camera parameters with a single click, while having full user control over the 3D scene and camera! This tutorial explores BlenderNeRF, its practical applications, what NeRFs are and how to train them using NeRF software such as Instant NGP. BlenderNeRF GitHub : https://github.com/maximeraafat/BlenderNeRF BlenderNeRF BlenderMarket : https://blendermarket.com/products/blendernerf Instant NGP GitHub : https://github.com/NVlabs/instant-ngp Google COLAB BlenderNeRF Notebook : https://colab.research.google.com/drive/1dQInHx0Eg5LZUpnhEfoHDP77bCMwAPab?usp=sharing Blender : https://www.blender.org NeRF : https://www.matthewtancik.com/nerf Instant NPG Tutorial : https://www.youtube.com/watch?v=TA14yYBIRP8 Luma Unreal Engine Plugin : https://docs.lumalabs.ai/9DdnisfQaLN1sn TurboNeRF (NeRFs in Blender) : https://github.com/JamesPerlman/TurboNeRF-Blender NeRFshop : https://github.com/graphdeco-inria/nerfshop Opening Sequence soundtrack by Latmac (@Latmac) Background song : I Still Love You (feat. Spade Brooks), by The David Roy Collective, available at https://artlist.io/royalty-free-music/song/i-still-love-you-feat-spade-brooks/77089 The COS scene was inspired by the Blender Guru Blender beginner series : @blenderguru The SOF and TTC scenes were created by Nicole Morena (@nickyblender) and Christophe Seux, available at https://www.blender.org/download/demo-files/ 00:00 Introduction 02:36 Motivation 04:00 Part 1 07:18 Camera on Sphere (COS) 11:07 Subset of Frames (SOF) 12:33 Train and Test Cameras (TTC) 14:21 Notes 15:29 Part 2 18:02 Limitations 18:53 Final Notes