English

LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

Computer Vision and Pattern Recognition 2025-04-15 v1 Machine Learning

Abstract

Anamorphosis refers to a category of images that are intentionally distorted, making them unrecognizable when viewed directly. Their true form only reveals itself when seen from a specific viewpoint, which can be through some catadioptric device like a mirror or a lens. While the construction of these mathematical devices can be traced back to as early as the 17th century, they are only interpretable when viewed from a specific vantage point and tend to lose meaning when seen normally. In this paper, we revisit these famous optical illusions with a generative twist. With the help of latent rectified flow models, we propose a method to create anamorphic images that still retain a valid interpretation when viewed directly. To this end, we introduce Laplacian Pyramid Warping, a frequency-aware image warping technique key to generating high-quality visuals. Our work extends Visual Anagrams (arXiv:2311.17919) to latent space models and to a wider range of spatial transforms, enabling the creation of novel generative perceptual illusions.

Cite

@article{arxiv.2504.08902,
  title  = {LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping},
  author = {Pascal Chang and Sergio Sancho and Jingwei Tang and Markus Gross and Vinicius C. Azevedo},
  journal= {arXiv preprint arXiv:2504.08902},
  year   = {2025}
}

Comments

Accepted at CVPR 2025 (Oral)

R2 v1 2026-06-28T22:55:26.530Z