Comments (3)
There are a lot of things, but most of them are related to preparing a good dataset for photogrammetry.
Colmap and GS take (literally) everything you give them, so weak images too.
If you are thinking about taking photos indoors - this is a very good tutorial.
https://radiancefields.com/gaussian-splatting-brings-art-exhibitions-online-with-yulei
https://medium.com/@heyulei/capture-images-for-gaussian-splatting-81d081bbc826
For me most important thing is sharp pictures with very deep depth of field
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Sharp pictures...
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Are there any tips on how to get rid of floating noise(attached example image) and to make everything more consistent? By consistency I mean if there are gaussians belonging to chair(or any other object), then it is usual case that when looking from some angles the surface of object is not smooth.
I believe that depth supervision and more images could help. Is there anything else
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Related Issues (20)
- convert.py results in two images being squashed HOT 31
- ubuntu 22.04 SIBR viewer install error HOT 10
- make_depth_scale.py - No module named 'read_write_model' HOT 2
- 3D overlapped HOT 4
- terminate called after throwing an instance of 'std::runtime_error' what(): See log for message errors 已放弃 (核心已转储) HOT 1
- Error Using Interop
- Adaptation of Dataset Reader for NuScenes
- I found that the ground rendering is not smooth enough. Is there any good solution to improve it?
- Significant issues - size issues HOT 1
- Question about keyboard controlling in VR mode HOT 1
- gaussian render is always giving two output images no matter what my input images are HOT 2
- Can we spefify the initial image pair in colmap.py?
- Issues about the Fov Y in SIBR viewer.
- point cloud
- dont know what to do with submodules HOT 1
- NeRF Synthetic blender dataset depth loss?
- PSNR
- normal maps HOT 3
- Can 3DGS render depth maps? HOT 6
- Novel View Synthesis from render.py HOT 4
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