kwea123 / kwea123/nerf_pl

360 rendering result is bad

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Dominant language
Jupyter Notebook
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Description

my traning tensor-board result looks nice.
But, when eval the result is no so good. I don't known what's going wrong.
![360rendering result](https://user-images.githubusercontent.com/24842574/201683646-b04f2468-5a33-4f44-accf-043a2f666152.gif)
I want to known, my dataset is reasonable? Nerf is suitable for my dataset?
colmap gui result as following:
![camare](https://user-images.githubusercontent.com/24842574/201690643-3cf608a9-a7a2-4b90-ae81-d9baa00d7cfd.png)

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by comparing the TensorBoard training result with the evaluation result and reviewing the dataset and COLMAP GUI output shown in the issue. Done would require determining whether the dataset is suitable for NeRF and explaining or correcting the evaluation quality gap.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, 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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