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Design And Implementation Of Facial Video Generation System For Customized Expression

Posted on:2022-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:J Y SuFull Text:PDF
GTID:2518306341952649Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the rapid development of major video creation platforms,more and more high-quality video works appear,which bring insights,thoughts and endless joy to the broad masses of people after daily studying and working.At the same time,video makers themselves can also gain fame and economic benefits.With the development of deep learning technology,technologies such as face-swaping and face-generating have been used in the field of video creation.However,due to the high threshold of technology and the imperfection of technology in previous years,there are few this kind of video creations,especially the really excellent works.What's worse,there may appear the problem of portrait infringement.Therefore,based on the deep learning technology related to face generation,face editing,and customized expression's facial video generating,combined with Python,PyQt and other technologies,this paper designs and implements the facial video generation system for customized expression.This paper mainly includes the following parts:1.This paper introduces the research background and research status at home and abroad,defines the research direction of contents,and sets the research goal of the system as:reducing the threshold of technology,solving the problem of infringement of portrait rights,and facilitating the video creation activities.2.This paper does the needs analysis and overall design for the system.Through the analysis of system requirements,we gradually clear the system's module composition and function division.This paper makes sure that the functions of face generation,face attribute editing and customized expression's facial video generating become the core functions of the system.Then on the user's point of view,the paper adds additional functions around the core functions.After finishing the architecture of the system,the overall work flow chart of the system is formulated.3.The implementation details of the system are analyzed and introduced.The system is composed of face generation and attribute editing module and customized expression's facial video generation module.The system realized the functions of face generation,attribute editing,video generation,progress displaying,cancelling task,zoomming and cropping image,result image displaying and so on.4.Finally,this paper introduces the system testing from the aspects of functions,system integrity,performance.After testing,whether the face generation and attribute editing module or the customized expression's facial video generation module,all the functions are stable and normal,the interactions between the functions are normal,the cooperations are smooth,and the system functions can be completed without errors.
Keywords/Search Tags:Face generation, Face attribute editing, Customized expression's facial video generating, Deep Learning
PDF Full Text Request
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