Open cwchenwang opened 2 years ago
It sounds like you're training at a low resolution, and then testing at a higher resolution than you trained at, is that correct? If that is what you're doing, then these artifacts make sense. There's nothing in mip-NeRf that should enable super-resolution or generalization to higher resolutions than what you trained at. All it should be able to do is interpolate between the scales you have trained with. Vanilla NeRF might behave better in this circumstance as it has no understanding of scale.
Hi, I appreciate your excellent work. I found that when training mip-nerf on LLFF scene (fern specifically), it reconstructs well on original (252x189) and lower resolution.
However, when I try to render higher resolution images (e.g. 512x378 here), they contain a lot of noise that vanilla nerf doesn't contain. What might be the possible reason?