kwea123 / kwea123/nerf_pl

own data do not give good 3D reconstruction

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Description

Hello there, I tried your code to test on my own data. You can find my training image example as follows,
![img_00-1](https://user-images.githubusercontent.com/15608099/156315702-924a2bfd-a9fe-4284-afce-878a2bb3f769.jpg)
I collected 50 images to cover 360-degree view. I used your code for reconstruction, the results are like this,
![025](https://user-images.githubusercontent.com/15608099/156315903-b57d7453-d447-4840-8807-13ce45c3d3fc.png)
There are some holes and blur on the background.

As you said, some background can help for 3D rendering, but apparantly, NeRF cannot handle objects with complicated background, right? Can you share your opinion to us? Thank you!

Contributor guide

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Research direction

No source file, test, or entry point is named. Start by reviewing the supplied training-image and reconstruction examples, then reproduce the result with the reported 50-image, 360-degree capture; done means establishing whether the holes and background blur are a reproducible defect or expected behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
pytorch
Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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