Comments (1)
barbararoessle
commented on August 21, 2024
Hi, we used the training scenes from the official ScanNet data split for training the depth prior network. You can find the info in the README.md with a link to the data split files. The scenes, that we optimize NeRF on, are all from the test scenes of the ScanNet data split, so the depth prior network was not trained on them.
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Related Issues (20)
- How to compute stantard deviation? HOT 1
- On the standard deviation of depth map HOT 1
- Confused about the coordinate system and COLMAP sparse reconstruction
- Models to reproduce the results on ScanNet and Matterport3D HOT 5
- can't run extract_scannet_scene
- Could you provide more complete preprocessing scripts?
- Depth loss is negative HOT 1
- About the depth-guided ray sampling HOT 2
- Error in compute_depth_loss
- Video generation with less than 3 images
- The torch version of the completion depth network HOT 1
- Can I obtain dense depth maps corresponding to each rgb images through your depth completion work？
- Error while making the preprocessing/build . HOT 1
- How do I run this project on my own dataset? HOT 1
- UnpicklingError: A load persistent id instruction was encountered HOT 2
- Question for the resolution of the imags
- Question with regards to the target depth map
- Question about depth_prior_network_path and db_path HOT 1
- Dataset preprocessing
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