Differentiable Transient Rendering
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Abstract (arXiv)
Recent differentiable rendering techniques have become key tools to tackle many inverse problems in graphics and vision. Existing models, however, assume steady-state light transport, i.e., infinite speed of light. While this is a safe assumption for many applications, recent advances in ultrafast imaging leverage the wealth of information that can be extracted from the exact time of flight of light. In this context, physically-based transient rendering allows to efficiently simulate and analyze light transport considering that the speed of light is indeed finite. In this paper, we introduce a novel differentiable transient rendering framework, to help bring the potential of differentiable approaches into the transient regime. To differentiate the transient path integral we need to take into account that scattering events at path vertices are no longer independent; instead, tracking the time of flight of light requires treating such scattering events at path vertices jointly as a multidimensional, evolving manifold. We thus turn to the generalized transport theorem, and introduce a novel correlated importance term, which links the time-integrated contribution of a path to its light throughput, and allows us to handle discontinuities in the light and sensor functions. Last, we present results in several challenging scenarios where the time of flight of light plays an important role such as optimizing indices of refraction, non-line-of-sight tracking with nonplanar relay walls, and non-line-of-sight tracking around two corners.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jun 2022.
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Citing papers per year: 2023: 3; 2024: 1; 2025: 1; 2026: 3.
8 papers.
- 2023Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonarcited by 16
- 2024Flying with Photons: Rendering Novel Views of Propagating Lightcited by 7
- 2023Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third Bouncecited by 3
- 2023Self-Calibrating, Fully Differentiable NLOS Inverse Renderingcited by 3
- 2025Neural Inverse Rendering from Propagating Lightcited by 1
- 2026A comprehensive study of time-of-flight non-line-of-sight imagingcited by 1
- 2026Non-line-of-sight imaging with arbitrary relay surface geometries via 3D Gaussian Transient Renderingcited by 0
- 2026Cascaded Non-Line-of-Sight Imagingcited by 0
- 2026Cascaded Non-Line-of-Sight Imaging3 Sep 2026
- 2026Non-line-of-sight imaging with arbitrary relay surface geometries via 3D Gaussian Transient Rendering19 Jun 2026
- 2026A comprehensive study of time-of-flight non-line-of-sight imaging10 Mar 2026
- 2025Neural Inverse Rendering from Propagating Light5 Jun 2025
- 2024Flying with Photons: Rendering Novel Views of Propagating Light9 Apr 2024
- 2023Self-Calibrating, Fully Differentiable NLOS Inverse Rendering21 Sep 2023
- 2023Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third Bounce26 Jul 2023
- 2023Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar16 Jun 2023