Computational Flash Photography through Intrinsics
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Abstract (arXiv)
Flash is an essential tool as it often serves as the sole controllable light source in everyday photography. However, the use of flash is a binary decision at the time a photograph is captured with limited control over its characteristics such as strength or color. In this work, we study the computational control of the flash light in photographs taken with or without flash. We present a physically motivated intrinsic formulation for flash photograph formation and develop flash decomposition and generation methods for flash and no-flash photographs, respectively. We demonstrate that our intrinsic formulation outperforms alternatives in the literature and allows us to computationally control flash in in-the-wild images.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 24 of its 34 references that are in the map. First posted on arXiv 9 Jun 2023.
Builds on
24 of 34 references.
References · 24
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12 more
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Built on by
Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2024Intrinsic Single-Image HDR Reconstructioncited by 11
- 2025Glass Surface Detection: Leveraging Reflection Dynamics in Flash/No-flash Imagerycited by 0
- 2026Adaptive Illumination Control for Robot Perceptioncited by 0
- 2026LightMover: Generative Light Movement with Color and Intensity Controlscited by 0
- 2026LightMover: Generative Light Movement with Color and Intensity Controls28 Mar 2026
- 2026Adaptive Illumination Control for Robot Perception13 Feb 2026
- 2025Glass Surface Detection: Leveraging Reflection Dynamics in Flash/No-flash Imagery21 Nov 2025
- 2024Intrinsic Single-Image HDR Reconstruction20 Sep 2024