Research On "Living Inheritance" And Innovative Design Of Intangible Cultural Heritage Handicrafts Based On Deep Learning Super Sample Algorithm

As the key evidence of the excellent traditional culture of the Chinese nation and an important foundation for the inheritance of human civilization,intangible cultural heritage(CNN)faces the dilemma of "difficult entry and difficult exit" with the social transformations from industrialization and informatization to intelligence."Living heritage" has become a prevailing trend.Taking Chinese Movable type as the empirical research object,this thesis proposes a reusable digital and efficient activation path of intangible cultural heritage handicrafts "living inheritance" and a case based innovative design scheme for immersive scene reproduction,aiming at the rendering effect distortion,limited technical compatibility,and lack of cultural characteristics that affect immersion in the process of interactive scene construction.The contributions of this thesis are mainly in two aspects:1.Technology empowers the "living inheritance" of intangible cultural heritage handicrafts.Based on the in-depth analysis of scene rendering distortion and super-resolution reconstruction principles,the Deep Learning Super Sample(DLSS)algorithm is introduced.Convolutional neural network(CNN)and recurrent neural network(RNN)are used for rendering super-resolution and reconstruction,combined with post-processing optimization methods based on color attributes,and the improved DLSS algorithm is used to reconstruct custom rendering shader.Optimize the clarity,contrast,and saturation of the real-time rendering scene,thereby enhancing the application value of intangible cultural heritage in the digital age.2.Innovative design realizes the digital activation of Chinese Movable type.Combining the handicraft characteristics of Movable type,explore the principles of user experience and Interaction design.According to the comprehensive research,summarize the modern aesthetic needs and innovative design expectations of Movable type,analyze and integrate the hierarchical design strategy,focus on the realistic physical characteristics of historical,geographical elements and process simulation in the construction of realistic scenes,and realize the case oriented immersive scene construction and interactive function development by introducing the improved DLSS algorithm into the virtual engine development platform.This thesis provides new ideas and paradigms for the innovative design of intangible cultural heritage handicrafts.The case study results show that the reconstructed DLSS algorithm has significant optimization effects on rendering frame rate,rendering time,and other related data in real-time interactive scenes.This further verifies the feasibility and effectiveness of real-time rendering technology based on deep learning oversampling algorithm in the "living inheritance" and innovative design of intangible cultural heritage handicrafts.