Fix the Match, Not the Solver: STITCH -- a Self-Supervised Compatibility Measure for Eroded Visual Puzzles
cs.CV
Submitted: 2026-10-09
Updated: 2026-10-09
Comments: 9 pages, 8 figures, 5 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- PuzLM: Solving Jigsaw Puzzles with Sequence-to-Sequence Language Models
- Relaxation Labeling Meets GANs: Solving Jigsaw Puzzles with Missing Borders
- Representation Learning with Contrastive Predictive Coding
- Edge2Vec: A High Quality Embedding for the Jigsaw Puzzle Problem
- TEN: Twin Embedding Networks for the Jigsaw Puzzle Problem with Eroded Boundaries
- Pairwise Alignment & Compatibility for Arbitrarily Irregular Image Fragments
- Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
- VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps
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