LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
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.
Community
LookingGlass is a method to generate high-quality ambiguous anamorphoses using latent diffusion models—images that reveal a hidden image when viewed through a mirror or lens.
Accepted at CVPR 2025 (Oral)
Hi @linoyts , thanks for supporting our work! Unfortunately we cannot open source the code, but the pseudocode in the Appendix should provide enough information as to how to implement this on top of previous work :)
Here's some video results from the method. Enjoy!
Models citing this paper 0
No model linking this paper
Datasets citing this paper 0
No dataset linking this paper
Spaces citing this paper 0
No Space linking this paper
Collections including this paper 0
No Collection including this paper