Path Replay Backpropagation: Differentiating Light Paths using Constant Memory and Linear Time
Path Replay Backpropagation: Differentiating Light Paths using Constant Memory and Linear Time
复制标题
路径重放反向传播:使用恒定内存和线性时间区分光路
DOI:
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发表时间:
2021
期刊:
影响因子:
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通讯作者:
Delio Vicini
中科院分区:
文献类型:
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作者:
Delio Vicini
Fig. 1. Inverse reconstruction of a scene with complex lighting and heterogeneous structure. Given the initialization (a), we seek to reconstruct the target (b) involving normal-mapped surface variation and roughness changes on the fish sculpture, and the addition of a plant based on triangular geometry. Using three rendered views of the target, we apply our proposed path replay backpropagation (PRB) (c) and a linear-time version of radiative backpropagation (RB) [Nimier-David et al. 2020] (d) to reconstruct the modified sculpture and a heterogeneous medium approximating the plant. Our method computes unbiased gradients and is able to converge to a higher-quality solution at equal time. The second and third rows show insets and PRB’s convergence over time.
DOI:
10.1063/5.0130803
发表时间:
2023
期刊:
Chaos (Woodbury, N.Y.)
影响因子:
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作者:
Fronk,Colby;Petzold,Linda
通讯作者:
Petzold,Linda