auto">Thank you for your reply. Because I encountered the following problem during the reproduction process: module 'mediapy' has no attribute 'resize'，I used the resize_image() function of the mediapy library instead, however, due to my negligence, which led to the problem of the image resolution width and height reversal. But after I fixed the problem, the reproduction result on the on-the-go Mountain dataset was 19.900, which is inconsistent with the result of 22.53 in the paper.

Also, could you tell me which camera model of colmap you are running for sparse reconstruction, e.g. SIMPLE_PINHOLE, SIMPLE_RADIAL, etc., and does the choice of camera model have any effect on the results?

Here are the GT and rendered image，I turned on the app_opt and ubp options

But after I turn on the app_opt option, I get the following error:

File “/SpotLessSplats/examples/spotless_trainer.py”, line 961, in reset_sh self.splats[“shN”], max=torch.abs(torch.tensor(value)).item()
File “/anaconda3/envs/spotlessSplats/lib/python3.10/site-packages/torch/nn/modules/container.py”, line 738, in getitem return getattr (self, attr)
File “/anaconda3/envs/spotlessSplats/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1614, in getattr raise AttributeError(“‘{}’ object has no attribute ‘{}’”.format( AttributeError: 'ParameterDict' object has no attribute 'shN'

In the reset_sh() function, since shN is not initialized, I skipped the step colors = torch.clamp(self.splats["shN"], max=torch.abs(torch.tensor(value)).item()), and the experiment works fine. Could this cause any issues with the results?

low psnr & appearance modeling #9

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