The viewer's results were not as good as the training about npbg HOT 4 CLOSED

@seva100 thank you. I have found the problem. The reason is that I made a mistake in the output image. Thank you for your reply.

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Hi @JOP-Lee! Usually we have not really experienced a lot of overfitting with Neural Point-Based Graphics, so it's a bit strange that this happens. May I ask which scene do you train it for and maybe you have some screenshots and details to confirm the effect?

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Hi @JOP-Lee! Usually, we have not really experienced a lot of overfitting with Neural Point-Based Graphics, so it's a bit strange that this happens. May I ask which scene do you train it for and maybe you have some screenshots and details to confirm the effect?

@seva100 hi, Seva, I am training a beautiful scene like this. I got the problem when I train and test the same pose and point cloud. if there has overfitting, I think the training data set result won't be worse, right?

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I think I will need more details to understand it. Can you please share your scene, the trained checkpoint and the train.py & viewer.py launch commands?

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