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.
Re-assembling the past: The repair dataset and benchmark for real world 2d and 3d puzzle solving.Advances in Neural Information Process- ing Systems, 37:30076–30105
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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.