mlsanityData to 14 Oct 2026

LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

arXiv 2504.08902 ↗First posted 11 Apr 2025cs.CV cs.LGcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 22 of its 51 references that are in the map. First posted on arXiv 11 Apr 2025.

Builds on

22 of 51 references.

References · 22

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  3. 2022Classifier-Free Diffusion Guidancecited by 5,847
  4. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  5. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
  6. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,430
  7. 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Modelcited by 583
  8. 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generationcited by 536
  9. 2023Universal Guidance for Diffusion Modelscited by 437
  10. 2016Optical Flow Estimation using a Spatial Pyramid Networkcited by 424
  11. 2023FreeDoM: Training-Free Energy-Guided Conditional Diffusion Modelcited by 294
  12. 2023DiffCollage: Parallel Generation of Large Content with Diffusion Modelscited by 103
10 more
  1. 2023Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Modelscited by 46
  2. 2025How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Modelscited by 32
  3. 2023Diffusion Illusions: Hiding Images in Plain Sightcited by 26
  4. 2024SyncTweedies: A General Generative Framework Based on Synchronized Diffusionscited by 26
  5. 2024Factorized Diffusion: Perceptual Illusions by Noise Decompositioncited by 23
  6. 2024Images that Sound: Composing Images and Sounds on a Single Canvascited by 17
  7. 2023Generative Powers of Tencited by 15
  8. 2022Designing Perceptual Puzzles by Differentiating Probabilistic Programscited by 12
  9. 2023Constructing Printable Surfaces with View-Dependent Appearancecited by 6
  10. 2024Illusion3D: 3D Multiview Illusion with 2D Diffusion Priorscited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 6.

7 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis
  2. 2026PhysReflect: Geometry and Perception Guided Diffusion for Physically-Plausible Mirror Reflections
  3. 2026HyperbolicDiffusion: Sharp & Scalable Tiled Generation on the Hyperbolic Plane
  4. 2025PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model
  5. 2024Diffusion-based Visual Anagram as Multi-task Learning
  6. 2025WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image
  7. 2025Generative Perception of Shape and Material from Differential Motion
  8. 2024Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections