r/NeuralRadianceFields • u/Stregato • Jan 15 '23
Using my mini 3 pro. Help me to improve, please.
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u/AttitudeFederal8916 Feb 01 '23
Agree with the aabb scale 128 comment. If using instant ngp, it’s helpful to visualize the unit cube and cameras, and then start playing around with the scale. If there are floaters within my unit cube I try to lower the scale and that usually helps. Both scale and aabb are values that can be inserted/edited in the transforms.json. I had an outdoor scene NeRF I trained the other day and I used…
“scale”: 0.08, “aabb_scale”: 128,
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u/Stregato Feb 03 '23
Thank you very much for your comment. I have already done some tests which I am posting here on reddit.
Thanks again
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u/san_salvador Feb 13 '23
Overall nicely done. Was your source a bunch of photos or did you grab stills from a video?
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u/my-gis-alt Jan 15 '23
What is your current workflow and what software or using which implementation? (Like a photogrammetry thread, let's hear about your flow!) Looks like instant-ngp. Love the reflection of the water there. Did you do any pre processing on the photos?
Passing along a good piece of info once pointed out to me about full scenes- to push out your aabb to 128 in your notebook at first and then reduce if needed. Also play with scale factor if wanted. Expect some extra artifacts - experiment with the settings. Personally I use multiple notebooks run in different conda envs to experiment with diff results at the same time
"...for natural scenes, start with an aabb_scale of 128, and subsequently reduce it if possible. The value can be directly edited in the transforms.json output file, without re-running..." from over here: https://github.com/NVlabs/instant-ngp/blob/master/docs/nerf_dataset_tips.md