Comments (2)
@samcao0416, you can consider using my project dn-splatter which incorporates depth supervision for both real sensor depths or monocular depth estimates. It also support normal rendering, normal supervision, and some basic mesh extraction. It's based on splatfacto.
Here is a sneak-peek of depth supervision vs vanilla splatfacto:
combined_depth.mp4
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Thanks a lot! I will give it a try!
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Related Issues (20)
- Many floaters are being created, despite that sparse dataset does not have those points. HOT 1
- Splatfacto training crashes after 18k steps when training on VR-NeRF dataset HOT 2
- question regarding ns-process-data HOT 5
- Track to which gaussian splats XYZ points belong to in term of pixel coordinates and image when using splatfacto?
- Nerfstudio not compile with latest Visual Studio 2022 due to MSC 1950
- is there a way to remove background from the exported splat (from splatfacto) ?
- Latest setuptools 70.0.0 not compatible with nerfstudio after running pip install --upgrade pip setuptools
- Extraction of demo capture dataset zip contains two directories so it fails
- Pycolmap and HLOC doesn't work
- I'd like to know the details of slpatfacto
- Seeking for an advise: Need to get camera pose information during training HOT 2
- ninja: build stopped: subcommand failed.
- ODM transforms.json pov in opposite direction from ODM viewer. HOT 1
- export command does not working for gsplat?
- [WInErr] fatal error C1189: #error: -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2022 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk. HOT 6
- A question about number of frames to extract HOT 3
- A question about order of matrices in transforms.json
- bash: Warning:: command not found bash: Unable: command not found bash: libio_e57.so:: command not found
- Question about the value of 'fov' for 'ns-render camera-path' that can render exactly as in training dataset HOT 1
- Tiny-cude-nn installation fails on WSL2 (Ubuntu 22.04.3 LTS) HOT 3
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