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In the existing Mip-NeRF paper, loss is calculated for both coarse rendering and fine rendering. EG3D performs importance sampling like Mip-NeRF, but does not calculate loss for coarse rendering. But it seems to work well nonetheless.
I think that in order for importance sampling to work well, we need to calculate loss for coarse rendering as well. Why does EG3D train well even without this loss?
The text was updated successfully, but these errors were encountered:
In the existing Mip-NeRF paper, loss is calculated for both coarse rendering and fine rendering. EG3D performs importance sampling like Mip-NeRF, but does not calculate loss for coarse rendering. But it seems to work well nonetheless.
I think that in order for importance sampling to work well, we need to calculate loss for coarse rendering as well. Why does EG3D train well even without this loss?
The text was updated successfully, but these errors were encountered: