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Karol Myszkowski

3 accepted papers

2025

LEDiff: Latent Exposure Diffusion for HDR Generation

CVPR 2025poster

While consumer displays increasingly support more than 10 stops of dynamic range, most image assets -- such as internet photographs and generative AI content -- remain limited to 8-bit low dynamic range (LDR), constraining their utility across high dynamic range (HDR) applications. Currently, no gen…

Cited by 0SourcePDFScholar
2023

GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild

ICCV 2023poster

Most in-the-wild images are stored in Low Dynamic Range (LDR) form, serving as a partial observation of the High Dynamic Range (HDR) visual world. Despite limited dynamic range, these LDR images are often captured with different exposures, implicitly containing information about the underlying HDR i…

Cited by 13PDFScholar
2017

Towards a Quality Metric for Dense Light Fields

CVPR 2017poster

Light fields become a popular representation of three-dimensional scenes, and there is interest in their processing, resampling, and compression. As those operations often result in loss of quality, there is a need to quantify it. In this work, we collect a new dataset of dense reference and distort…

Cited by 145PDFcodeScholar