Comments (5)
The issue arises from the high weight of the pseudo depth loss applied after 2000 iterations. You can try the new version of code and use the commands for training (need to recompile the simple-knn submodule)
Thank you.
Zehao
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Hi, thanks for your interest in our work. What is your PSNR and LPIPS for this scene?
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Actually, we are still tuning settinigs on MiP-NeRF 360 dataset. We plan to release the updated version either this week or the next.
from fsgs.
Ok, great. I did not run it again as it takes quite long. So I don't remember theses measures. But overall the rendering output was low quality. I will rerun it when you update the code and report the measures. I am curious how it turns out.
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@zehaozhu
I ran this on the bonsai scene and PSNR rises to 29 by 2k iters and then drops to 20 after iteration 2000 when the pseudo depth kicks in. visually I'm seeing similar artifacts to what's happening in MrNeRFs
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Related Issues (20)
- Question for Reproduce Experimental Results HOT 6
- Question about generating random poses HOT 3
- "visibility_filter": radii > 0, RuntimeError: CUDA error: an illegal memory access was encountered HOT 4
- RuntimeError: numel: integer multiplication overflow HOT 6
- What is the meaning of confidence?
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- # download LLFF dataset gdown 16VnMcF1KJYxN9QId6TClMsZRahHNMW5g HOT 1
- New dataset
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