SOURCE-LINKED INTELLIGENCE
Why does It Look Different? - Material Appearance International Doctoral Network
ance accuracy. To overcome this, appearance difference metrics are essential for quality control and design adjustments in line with manufacturing constraints (Appearance Gamut Mapping). Furthermore, generative AI (genAI) models in automatic product design require differentiable loss functions that capture human perception of material appearance. The WILD MAIDN project aims to establish foundational metrics for appearance difference and equivalence, advancing visual perception science and providing tools for automated, perceptually-driven design and production that can ultimately support future genAI applications. Material Appearance; Perceptual Equivalence; Quality Control; 3D Printing; Psychophysics; Spectral Rendering; Bidirectional Reflectance
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4790340.72
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.