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Why does It Look Different? - Material Appearance International Doctoral Network

Objectif

Human evolution has endowed us with refined visual and cognitive skills, enabling material appearance assessment across diverse conditions and contexts. While the physics of light transport within materials is well understood, the visual mechanisms underlying perceptual equivalence among materials remain largely unexplored, and no reliable metric currently quantifies perceptual differences between them. This gap is a critical barrier to advancing aesthetic product design and manufacturing, particularly with the advent of complex designs featuring visual (color, gloss, translucency, texture) and haptic (softness, roughness) attributes made possible by new manufacturing technologies like multimaterial 3D printing. These innovations facilitate decentralized production, reducing supply chain dependence and energy consumption while enabling high-quality, customized parts, such as aesthetic dental restorations. However, current quality control methods rely on subjective visual inspection, creating variability and limiting reproducibility, especially for products requiring high appearance 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.

Champ scientifique (EuroSciVoc)

Mots‑clés

Programme(s)

Thème(s)

Régime de financement

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Appel à propositions

(s’ouvre dans une nouvelle fenêtre) HORIZON-MSCA-2025-DN-01

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Coordinateur

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Contribution nette de l'UE
€ 1 359 728,64
Coût total
Aucune donnée

Participants (7)

Partenaires (7)