Zip-NeRF: Anti-aliased grid-based neural radiance fields [video] (opens in new tab)

(youtube.com)

52 pointssebgaj2y ago18 comments

18 comments

Anyone know how many input images were used to train the network for the house scene? I don't see that information anywhere.

speps2y ago

Project page: https://jonbarron.info/zipnerf/

tommiegannert2y ago

Looks nice! NeRFs have come a long way.

The only artifact I can see is that lines, e.g. moldings become wavy. Not very jittery, but consistently wavy. Adding some line detection to force-straighten? Perhaps the same would be true for ellipses for images with large circles. These interior videos had more straight lines, though.

alphabetting2y ago

Hoping for the day this technology makes it into gaming. Looks incredible.

_0ffh2y ago

The problem for gaming is, these scenes are completely static.

spyder2y ago

Lot of game assets are static, and people are working on animated NERFs too. Also another necessary thing will be collisions and physics.

example for character animation:

https://zju3dv.github.io/animatable_nerf/

example for the static world already working in Unreal engine real-time:

https://www.youtube.com/watch?v=GjpzMDur7UY

diffusion models for NERF asset generation:

https://sirwyver.github.io/DiffRF/

https://dreamfusion3d.github.io/

Physics:

https://www.youtube.com/watch?v=Md0PM-wv_Xg

https://www.youtube.com/watch?v=Eklh1pIAri0

and there are a lot more research being done on this, it's hard to keep up with all the things happening in AI

alphabetting2y ago

True but even for static areas and backgrounds I feel like this detail and fidelity blows away what is used in current AAA games.

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TruthWillHurt2y ago

My thoughts exactly. This is the future - both realistic and lazy (as a scene can simply be described to a proompt).

underanalyzer2y ago

To clarify for people who don't follow NeRF techniques, this research is not prompt based. The algorithm is capturing the 3d scene from real life images. There is some super promising work in mixing NeRF based techniques with various generative models to create 3d objects from prompts but it doesn't seem close to creating anything of this kind of scale / detail yet. I do agree this is a future possibility though.

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nielsbot2y ago

Can someone explain what this is in layperson's terms? I watched the video and read the paper summary, but I don't know what I'm looking at.

gary_02y ago

Techniques like NeRF allow you to take a bunch of photos of a real 3D scene and then generate images/video of the scene from arbitrary viewpoints, where NeRF will infer the 3D structure using machine learning. So what you're seeing is the camera smoothly flying around rooms where the video was generated (in near-real-time, I think) by an "AI" that was trained on pictures of the rooms.

nielsbot2y ago

Thanks. Pretty cool!

pornel2y ago

The depth map from this is super sharp.

antibasilisk2y ago

This will be quite neat for real estate

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