Artist management or mentoring is generally recognized as a fundamental challenge and contributing element in an artist’s success.This article takes the position that artist management should go well beyond the narro...Artist management or mentoring is generally recognized as a fundamental challenge and contributing element in an artist’s success.This article takes the position that artist management should go well beyond the narrow confines of standard business practice focused on traditional business management,marketing,accounting and finance,extending into seven dimensions of artist identity.The scope of artist management is broadened and deepened.Artist management is considered more challenging,as there must be open sharing and evaluation of attributes and liabilities associated with professional and personal considerations.Further,it is unlikely that a manager has all of the expertise necessary to directly manage in all identity dimensions,so outside expertise might be imperative.Prevalent examples of such cases are sub-optimal artist achievement owing to musical performance anxiety,the causes and consequences of such anxiety,and methods of alleviating severe problems and the shortened life expectancy of popular musicians.展开更多
Current research on text-conditional image generation shows parallel performance with ordinary painters but still has much room for improvement when compared to that of artist-ability paintings,which usually represent...Current research on text-conditional image generation shows parallel performance with ordinary painters but still has much room for improvement when compared to that of artist-ability paintings,which usually represent multilevel semantics by gathering features ofmultiple objects into one object.In a preliminary experiment,we confirm this and then seek the opinions of three groups of individuals with varying levels of art appreciation ability to determine the distinctions that exist between painters and artists.We then use these opinions to improve an artificial intelligence(AI)painting system from painter-level image generation toward artistic-level image generation.展开更多
文摘Artist management or mentoring is generally recognized as a fundamental challenge and contributing element in an artist’s success.This article takes the position that artist management should go well beyond the narrow confines of standard business practice focused on traditional business management,marketing,accounting and finance,extending into seven dimensions of artist identity.The scope of artist management is broadened and deepened.Artist management is considered more challenging,as there must be open sharing and evaluation of attributes and liabilities associated with professional and personal considerations.Further,it is unlikely that a manager has all of the expertise necessary to directly manage in all identity dimensions,so outside expertise might be imperative.Prevalent examples of such cases are sub-optimal artist achievement owing to musical performance anxiety,the causes and consequences of such anxiety,and methods of alleviating severe problems and the shortened life expectancy of popular musicians.
文摘Current research on text-conditional image generation shows parallel performance with ordinary painters but still has much room for improvement when compared to that of artist-ability paintings,which usually represent multilevel semantics by gathering features ofmultiple objects into one object.In a preliminary experiment,we confirm this and then seek the opinions of three groups of individuals with varying levels of art appreciation ability to determine the distinctions that exist between painters and artists.We then use these opinions to improve an artificial intelligence(AI)painting system from painter-level image generation toward artistic-level image generation.
