Juno

Hi, the reason for the high CPU utilization is that we are loading images just in time to reduce memory usage. This creates a bottleneck on the CPU when running...

Thanks for your experiment. This appears to be the same issue as #3. I am suspecting that the problem is that COLMAP is not producing the same results. I am...

The new version of pre_n3d_colmap.py was submitted primarily to address issues related to resolution. However, the parts related to COLMAP densification are still being worked on and haven't been completely...

That's correct. This is because a dense input reduces the randomness of densification, which makes the result more stable. I am improving this by using COLMAP densification.

Hello, I think I might have an issue with COLMAP. Since COLMAP does not compute values in an absolute coordinate system (e.g., in meters), there is some randomness involved. Therefore,...

> > Hello, I think I might have an issue with COLMAP. Since COLMAP does not compute values in an absolute coordinate system (e.g., in meters), there is some randomness...

Hi, thanks for reminding me of this typo! As you mentioned, I've used PyTorch 2.1.2. To the best of my knowledge, most errors related to cpython come from the unmatched...

Hi, currently backpropagation for depth and optical flow is not supported. Additionally, the optical flow variables are reserved for error measurement, so I wouldn't recommend using them.

Thanks for verification. This is because the last iteration was not automatically added to `save_iterations`. I've fixed my code for this. Please check the updated code.

In my opinion, a general 1 drop in PSNR is unusual. When I reproduced it, I got slightly better results in the coffee martini scene. The PSNR generally increased from...