SOURCE-LINKED INTELLIGENCE
Printing the Underdetermined: Materializing Multi-solutionness in Figurative Paintings
Figurative paintings are often approached as if they depict a single recoverable 3D scene: viewers infer depth and occlusion, and reconstruction pipelines attempt to converge to one stable model. We instead foreground multi-solutionness, the non-uniqueness of 3D configurations compatible with a single painted image, and propose a workflow that keeps this non-uniqueness visible and material. Multi-solutionness arises from two sources: unobserved content, where backsides and occluded volumes admit multiple plausible completions, and observed cues, where perspective, shading, and occlusion still
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T06:50:54.000Z
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.