Hello!
I have been training the network on my own data and the rendering results are way worse than the ones from training on the provided datasets. I trained on a dataset that has 53 images. I kept the same parameters for the config files, changing the image size and name, of course.
One of the input images:
And these are the result images taken from the logs folder:
Visualizing the dense output from colmap:
What could be the possible reasons for such results?
Hello!
I have been training the network on my own data and the rendering results are way worse than the ones from training on the provided datasets. I trained on a dataset that has 53 images. I kept the same parameters for the config files, changing the image size and name, of course.
One of the input images:
And these are the result images taken from the logs folder:
Visualizing the dense output from colmap:
What could be the possible reasons for such results?