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Node Graph Optimization Using Differentiable Proxies
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DescriptionWe propose a fully differentiable framework, enabling end-to-end, gradient-based optimization of material graphs, even if some functions of the graph are non-differentiable. We leverage the differentiable proxy, a differentiable approximator of a non-differentiable black-box function. Differentiable proxies offer a more general optimization solution to material appearance matching than previous work.