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LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
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Generates text-conditioned anamorphic illusions with latent rectified-flow models (Stable Diffusion 3.5) by synchronizing predicted clean images across mirror/lens views and warping them with a Laplacian pyramid, achieving better quality than Visual Anagrams-style baselines.
Problem
Creating ambiguous anamorphic images that show one meaning when viewed directly and a different hidden image through a mirror or lens, which prior methods could only do in pixel space with orthogonal transforms and at lower quality.
Approach
Extends synchronized multi-view denoising to latent rectified-flow models by averaging predicted clean images in pixel space via VAE round-trips with residual correction, and introduces Laplacian Pyramid Warping, an LOD-aware frequency-preserving warp that blends views at each frequency band.
Key results
- On 135° rotation, LookingGlass reaches FID 129.74 vs 166.03 for SyncTweedies and 293.00 for Visual Anagrams (Geng et al.).
- On cylindrical mirror anamorphosis, LookingGlass achieves FID 130.27 and alignment A 0.272, versus 0.171 for Geng et al.
- A 27-participant user study consistently preferred LookingGlass results over prior methods; each image pair takes about 80 seconds on an RTX 4090 with 30 steps.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use the predicted clean image estimate instead of predicted noise (ablation) | Visual Anagrams with Stable Diffusion 3 · Vertical Flip | FID: 335.24 -> 171.61 | Helped |
| add VAE encoding/decoding for image-space transformations (ablation) | Visual Anagrams with Stable Diffusion 3 · Vertical Flip | FID: 171.61 -> 160.17 | Helped |
| add Laplacian Pyramid Warping (ablation) | LookingGlass with Stable Diffusion 3 · Vertical Flip | FID: 160.17 -> 153.27 | Helped |
| add time traveling during intermediate denoising steps (ablation) | LookingGlass with Stable Diffusion 3 · Vertical Flip | FID: 153.27 -> 150.01 | Helped |
| add time traveling during intermediate denoising steps (ablation) | LookingGlass with Stable Diffusion 3 · Vertical Flip | CLIP alignment score A: 0.300 -> 0.295 | Hurt |
| use LookingGlass instead of SyncTweedies | 135° Rotation · 135° Rotation | FID: 166.03 -> 129.74 | Helped |
| use LookingGlass instead of SyncTweedies | Cylindrical Mirror · Cylindrical Mirror | CLIP alignment score A: +0.031 | Helped |
| use LookingGlass instead of SyncTweedies | Vertical Flip · Vertical Flip | CLIP alignment score A: 0.302 -> 0.297 | Hurt |
Surprising findings
- Naive VAE-based latent synchronization (Tancik) fails badly on rotations, with FID 439 at 135°, showing latent models need special handling.
Limitations
- Not all prompt pairs yield high-quality illusions; prompt selection remains a challenge.
- Computationally more expensive than pixel-space Visual Anagrams due to VAE encode/decode steps.
- Evaluation of CLIP alignment and concealment scores uses only 50 prompt pairs.
Experimental setup
Metrics: CLIP alignment score concealment score FID KID user preference ranking
Baselines: Visual Anagrams Diffusion Illusions SyncTweedies Tancik SD 3.5
Builds on: Visual Anagrams SyncTweedies Diffusion Illusions Generative Powers of Ten FreeDoM
Closest papers by meaning
- Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models (CVPR 2024 · similarity 0.89)
- PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model (CVPR 2025 · similarity 0.84)
- Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction (NeurIPS 2026 · similarity 0.84)
- MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World (CVPR 2025 · similarity 0.84)
- Generative Perception of Shape and Material from Differential Motion (NeurIPS 2025 · similarity 0.84)
- Multistable Shape from Shading Emerges from Patch Diffusion (NeurIPS 2024 · similarity 0.83)
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