Computing Light Transport Gradients using the Adjoint Method
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Abstract (arXiv)
This paper proposes a new equation from continuous adjoint theory to compute the gradient of quantities governed by the Transport Theory of light. Unlike discrete gradients ala autograd, which work at the code level, we first formulate the continuous theory and then discretize it. The key insight of this paper is that computing gradients in Transport Theory is akin to computing the importance, a quantity adjoint to radiance that satisfies an adjoint equation. Importance tells us where to look for light that matters. This is one of the key insights of this paper. In fact, this mathematical journey started from a whimsical thought that these adjoints might be related. Computing gradients is therefore no more complicated than computing the importance field. This insight and the following paper hopefully will shed some light on this complicated problem and ease the implementations of gradient computations in existing path tracers.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jun 2020.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 2.
4 papers.
- 2022Eikonal Fields for Refractive Novel-View Synthesiscited by 30
- 20243D Reconstruction with Fast Dipole Sumscited by 12
- 2026Differentiable Polarized Path Tracingcited by 0
- 2026Point-Based 3D Reconstruction from Sparse Views under Known Illuminationcited by 0
- 2026Point-Based 3D Reconstruction from Sparse Views under Known Illumination20 Aug 2026
- 2026Differentiable Polarized Path Tracing14 Jul 2026
- 20243D Reconstruction with Fast Dipole Sums27 May 2024
- 2022Eikonal Fields for Refractive Novel-View Synthesis2 Feb 2022