Learning Image Fractals Using Chaotic Differentiable Point Splatting

Fractal geometry, defined by self‐similar patterns across scales, is crucial for understanding natural structures. This work addresses the fractal inverse problem, which involves extracting fractal codes from images to explain these patterns and synthesize them at arbitrary finer scales. We introduc...

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Vydané v:	Computer graphics forum Ročník 44; číslo 2
Hlavní autori:	Djeacoumar, A., Mujkanovic, F., Seidel, H.‐P., Leimkühler, T.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.05.2025
Predmet:	CCS Concepts Computing methodologies → Point‐based models Fractal geometry Inverse problems Machine learning Rendering
ISSN:	0167-7055, 1467-8659
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