Learning Image Fractals Using Chaotic Differentiable Point Splatting
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DOI: 10.1111/cgf.70084
Abstract: Fractal geometry, defined by selfâsimilar 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… read more here.
Keywords: image fractals; point splatting; differentiable point; learning image ... See more keywords