Introduces GAP datasets of synthetic heavily eroded irregular puzzle pieces modeled on archaeological fragments and PuzzleFlow, a ViT and flow-matching framework that outperforms prior jigsaw solvers on these datasets.
Unsupervised learning of visual representations by solving jigsaw puzzles
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The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments
Introduces GAP datasets of synthetic heavily eroded irregular puzzle pieces modeled on archaeological fragments and PuzzleFlow, a ViT and flow-matching framework that outperforms prior jigsaw solvers on these datasets.