Digital Modeling of Intangible Cultural Heritage Visualization Based on Convolutional Neural Networks

With the rapid development of digital technology, its application in education and teaching is becoming increasingly widespread.As one of the core courses of digital technology, art courses have also begun to introduce digital technology for teaching reform.In traditional art courses, teachers mainly rely on analyzing and explaining student works.This model not only takes up a lot of students' spare time but also causes serious deficiencies in their aesthetic ability, artistic literacy, and other aspects.This study takes various artworks as examples, analyzes the problems existing in traditional teaching modes, and proposes an artwork analysis model based on a simulated annealing algorithm and CAD and computer vision.This model can not only improve students' understanding and aesthetic ability of artworks but also stimulate their interest in learning, improve classroom teaching efficiency, and have certain reference significance for other digital technology and art subject courses.