| With the gradual acceleration of people’s modern lifestyle,the existing functional space of traditional village houses has been unable to meet the increasing modernization needs of residents.The common problem in traditional villages is that there is a contradiction between modern production and lifestyle and the original functional space of traditional houses,resulting in a large number of renewal needs for traditional village houses.As traditional villages have high requirements for the integrity of style,the biggest contradiction now lies in the conflict between the new materials,new structures,and new spaces from the requirements of modern functional space and the original traditional style of the village.It is found that the contradiction between the protection and the renewal of traditional style has not been solved through the research on the combination of protection and renewal.This paper is divided into seven chapters.The first chapter summarizes the purpose and significance of the research,explores the research methods of the subject and combs the framework of the article;The second chapter combs the relevant research and expounds the feasibility and necessity of the method;The third chapter takes Gaobu village as an example,points out and summarizes the renewal needs of traditional village houses,which can be used as the basis for the renewal design of houses;The fourth chapter constructs the framework of the housing renewal design method with the GAN as the core,and expounds each step;The fifth chapter combs the whole process and application of computer vision aided design optimization methods and technologies;The sixth chapter takes the Long’s house in Gaobu village as an example to demonstrate the feasibility of the design method;The seventh chapter summarizes the phased results of the research,looks forward to the foreseeable problems in the follow-up of the research,and expounds the significance of this exploration.The study constructs the overall framework of basic demand planning preliminary scheme,automatic generation to guide facade optimization,and professional judge deepening design.The design framework takes the automatic generation scheme of the GAN as the core,forming a whole process housing renewal design method aiming at the visual integrity of style.In the preliminary scheme stage,the preliminary plane scheme and foundation elevation scheme are obtained through the conventional design process;Automatic generation is the core of the design method.With the generative adversarial networks(GAN)of computer vision,effective data sets that meet the style requirements are used for algorithm model training and output results,to obtain a variety of schemes that meet the integrity of style;Take various generation schemes as the guiding content,and optimize the basic facade scheme by weighing the relationship between facade and space and combing the contents that can be used to guide facade design;Further combine the personalized needs,adjust the details and complete the deepening of the scheme.Finally,the research takes the Long’s house in Gaobu village as an empirical study.Through the model training of GAN,the generation results meet the requirements of style visual integrity,which proves that the design method and technical means are effective and feasible.The design method of this study provides a new idea for solving the contradiction between the protection and renewal of traditional houses and can provide a guiding direction for the renewal of traditional houses.However,due to the limitations of the model and the lack of data set,the accuracy of the results is not enough,and the specific detail design needs to be improved.The research puts forward the renewal design method of traditional village houses from the perspective of the visual integrity of style,to make the traditional village houses always maintain the required style in the process of modernization and development.And through computer vision aided automatic generation scheme,it provides more comparison and selection and provides more support for architects’ design.At present,by adjusting specific parameters and data processing,the model trained under limited data has achieved good results,which also provides effective support for the next application. |