Comments (3)
You are right, the rendering quality is not still reproduced as mentioned in #17. Since there are lots of details in the original implementation, it may take some time for me to figure out the reason.
Currently, to improve quality (at the cost of speed), you can remove --cuda_ray
, and enlarge --num_steps
and --upsample_steps
to use the pytorch ray marching.
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The real reason is instant-ngp use all train/val/test set to train, which is set to default in GUI mode now. You can try it now!
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Hi, have you solve the problem about the ray marching?
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Related Issues (20)
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