A new importance-sampling scheme estimates Hessians and Hessian-vector products of smoothed renderings, enabling Newton-type optimizers in inverse rendering with O(1) rendering evaluations per step.
Solving transcendental equations: the Cheby- shev polynomial proxy and other numerical rootfinders, per- turbation series, and oracles
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Stochastic Gradient Estimation for Higher-order Differentiable Rendering
A new importance-sampling scheme estimates Hessians and Hessian-vector products of smoothed renderings, enabling Newton-type optimizers in inverse rendering with O(1) rendering evaluations per step.