10,968 research outputs found
Computational Flash Photography through Intrinsics
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.Comment: 9 pages, 15 figures. Accepted to CVPR 2023. Project page:
http://yaksoy.github.io/intrinsicFlash
A Dataset of Multi-Illumination Images in the Wild
Collections of images under a single, uncontrolled illumination have enabled
the rapid advancement of core computer vision tasks like classification,
detection, and segmentation. But even with modern learning techniques, many
inverse problems involving lighting and material understanding remain too
severely ill-posed to be solved with single-illumination datasets. To fill this
gap, we introduce a new multi-illumination dataset of more than 1000 real
scenes, each captured under 25 lighting conditions. We demonstrate the richness
of this dataset by training state-of-the-art models for three challenging
applications: single-image illumination estimation, image relighting, and
mixed-illuminant white balance.Comment: ICCV 201
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