JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks. (arXiv:2101.07555v3 [cs.CV] UPDATED)

The paper proposes a solution based on Generative Adversarial Network (GAN)
for solving jigsaw puzzles. The problem assumes that an image is divided into
equal square pieces, and asks to recover the image according to information
provided by the pieces. Conventional jigsaw puzzle solvers often determine the
relationships based on the boundaries of pieces, which ignore the important
semantic information. In this paper, we propose JigsawGAN, a GAN-based
auxiliary learning method for solving jigsaw puzzles with unpaired images (with
no …

arxiv cv generative adversarial networks jigsaw learning networks