首页|Findings from Linkoping University Yields New Findings on Machine Learning (Deep Svbrdf Acquisition and Modelling: a Survey)

Findings from Linkoping University Yields New Findings on Machine Learning (Deep Svbrdf Acquisition and Modelling: a Survey)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Norrkoping, Sweden, by NewsRx journalists, research stated, “Hand in hand with the rapid development o f machine learning, deep learning and generative AI algorithms and architectures , the graphics community has seen a remarkable evolution of novel techniques for material and appearance capture. Typically, these machine-learning-driven metho ds and technologies, in contrast to traditional techniques, rely on only a singl e or very few input images, while enabling the recovery of detailed, high-qualit y measurements of bi-directional reflectance distribution functions, as well as the corresponding spatially varying material properties, also known as Spatially Varying Bi-directional Reflectance Distribution Functions (SVBRDFs).” Financial support for this research came from European Union (EU).

NorrkopingSwedenEuropeCyborgsEme rging TechnologiesMachine LearningTechnologyLinkoping University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.16)