70 citations · 98 across the 4 of their papers we have counts for
4 papers
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search
Marie-Morgane Paumard, Hedi Tabia, David Picard
Solving jigsaw puzzles requires to grasp the visual features of a sequence of patches and to explore efficiently a solution space that grows exponentially with the sequence length.…
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
Marie-Morgane Paumard, David Picard, Hedi Tabia
We tackle the image reassembly problem with wide space between the fragments, in such a way that the patterns and colors continuity is mostly unusable. The spacing emulates the ero…
Image Reassembly Combining Deep Learning and Shortest Path Problem
M. -M. Paumard, D. Picard, H. Tabia
This paper addresses the problem of reassembling images from disjointed fragments. More specifically, given an unordered set of fragments, we aim at reassembling one or several pos…
Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks
Marie-Morgane Paumard, David Picard, Hedi Tabia
Archaeologists are in dire need of automated object reconstruction methods. Fragments reassembly is close to puzzle problems, which may be solved by computer vision algorithms. As…