Satoxx

Hello, I have the same question about the code in line 280 of "examples/train_ngp_nerf_prop.py". According to the previous code, the `correction` and `loss_per_pix` are respectively: $$correction = \frac{1}{sg(Q(\mathbf{x}))^{\alpha}}$$ $$loss\\_per\\_pix=\frac{Q(\mathbf{x})^{2}}{sg(Q(\mathbf{x}))^{\alpha}}$$ Then...