Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers

arXiv:2404.07292v1 Announce Type: new
Abstract: Solving image and video jigsaw puzzles poses the challenging task of rearranging image fragments or video frames from unordered sequences to restore meaningful images and video sequences. Existing approaches often hinge on discriminative models tasked with predicting either the absolute positions of puzzle elements or the permutation actions applied to the original data. Unfortunately, these methods face limitations in effectively solving puzzles with a large number of elements. In this paper, we propose JPDVT, an …

abstract arxiv cs.cv diffusion discriminative models hinge image images jigsaw puzzle restore transformers type video vision vision transformers