bmild
Results of applying NeRF
Hi, First of all, I am a big fan of this project, and I really appreciate opening your source code publicly.
I applied NeRF to my datasets that was obtained through the ios_logger app. This is data loaging code.
The following is the result of training 200,000 times.
[Origin Image]
[Result RGB image]
[Result Depth image]
As you can see from the images, the result is not good. The RGB image is very blurry and the depth image did not extract properly.
- Have you ever applied data by acquiring it with an iPhone?
- Do you know why the result came out like this? Do you know how to slove this problem? What should I do to get proper result from the data I acquired?
Thank you in advance for reading this long post!
Maybe it has to do with the number of photos and probably a reflection from the screen.
Have you fixed this? I think your poses are incorrect. Because the rendered image is from a different view than the original image. You might have missed that.
I can't really understand what you are doing here https://github.com/hyunJIN7/nerf-pytorch/blob/3f30bca372aaff58264c9f04f6932ea78a450839/load_arkit.py#L22 exaxtly. It seems you are overwriting your poses kind of with the NeRF-Synthetic poses.
