Recomposed realities: animating still images via patch clustering and randomness

Markus Juvonen; Samuli Siltanen

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arXiv · 2506.22556

Recomposed realities: animating still images via patch clustering and randomness

Markus Juvonen·Samuli Siltanen

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Abstract

We present a patch-based image reconstruction and animation method that uses existing image data to bring still images to life through motion. Image patches from curated datasets are grouped using k-means clustering and a new target image is reconstructed by matching and randomly sampling from these clusters. This approach emphasizes reinterpretation over replication, allowing the source and target domains to differ conceptually while sharing local structures.

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Markus Juvonen, Samuli Siltanen. 2025-06-27. Recomposed realities: animating still images via patch clustering and randomness. https://arxiv.org/abs/2506.22556

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