2018
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
NeurIPS 2018poster
Traditional computer graphics rendering pipelines are designed for procedurally generating 2D images from 3D shapes with high performance. The nondifferentiability due to discrete operations (such as visibility computation) makes it hard to explicitly correlate rendering parameters and the resulting…