Appendices A Phase Function Details

Neural Information Processing Systems 

We cut off the gradient from the render loss to the visibility network. Our inference uses the same setting as the training. Specifically, we implement the dual-network design with a coarse network and a fine network. For the "env + point" illumination, we set the number of first indirect bounces to 32 . F .1 Scenes trained on the "point" Each test view has a new point light.