JigSync: Gauge-Resolved Synchronization for Jigsaw Reassembly under Unknown Piece Orientation

arXiv:2609.18379 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Project page: https://sohamrsch.github.io/jigsync

Terminology

• Accuracy — 76× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Absolute Accuracy — 7× in this paper
• Transformer — 7× in this paper · explained in 2 episodes
• Decode — 6× in this paper · explained in 2 episodes
• alpha — 5× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Perfect Accuracy — 3× in this paper
• Anisotropy — 2× in this paper · explained in 3 episodes
• Degeneracy — 2× in this paper · explained in 3 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Self-consistency — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Gauge Freedom — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Mahalanobis Gradient Compatibility — 1× in this paper
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Spatial Relationship Accuracy — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes

Sources

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• 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
• Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles
• Solving Jigsaw Puzzles with Linear Programming

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models