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With neural rendering computer graphics and vision might be heading for the moment where we can see and remove some limiting assumptions about what it is about. Some disjoint pieces just fall into place: Computer graphics and vision now have a shared framework.
Dont feel like reading but just want to try Nerfs yourself: Getting started-and Nerf frameworks
https://youtu.be/sr1LG47J5uc?si=l4K59vOOlJyRv6KH nerf 101 video
Overview and papers:
- TLDR: Nerf in 10 slides or my blog bost on the topic https://neuralradiancefields.io/history-of-neural-radiance-fields/
1) Understanding Neural rendering (START HERE)
2) Nerf (radiance fields) basics, frameworks and real world uses
3) Nerf for large scenes and 3d mapping: aka Google live view and Apple Fly around
4) Nerf Editing: Relighting, geometry extraction, scene segmentation
5) Generative and dynamic Nerfs: Text to nerf
6) Nerf rendering, compositing and web viewing
7) Related fields (Photogrametry, LIDAR, SLAM etc)
Dont feel like reading but just want to try Nerfs yourself: Getting started-and Nerf frameworks
- Getting hands on: Google colab setup for NVIDIA Instant Nerf, so you can try before buying a new gpu Step by step
- Code experiments: NVIDIA research libraries and papers
- Hands on: Representing plants as Nerf
Join Nerf discord at https://discord.gg/bRCMhXBg or the Nerfstudio discord at https://discord.gg/B2wb62hA and build the future with us
