The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments

ArXi:2605.12077v1 Announce Type: cross Jigsaw puzzle solving has been an increasingly popular task in the computer vision research community. Recent works have utilized cutting-edge architectures and computational approaches to reassemble groups of pieces into a coherent image, while achieving increasingly good results on well established datasets. However, most of these approaches share a common, restricting setting: operating solely on strictly square puzzle pieces. In this work, we