Based in Brisbane, Australia, Michael Zavros creates ambiguous art works that capture faceless human subjects. The artist studied printmaking at the Queensland College of Art and has won countless prizes in his native country and worldwide.
Capturing human faces, the artist blurs the features of his subjects and creates a dreamlike and surreal portrait series. His compositions are monochromatic, blurred and mysterious.
Often dealing with stylish subjects, the artist's works explore the idea of ambiguity in the world of fashion. In this particular series, Michael Zavros depicts male models. While their hair and wardrobe embodies a high fashion aesthetic, their faces have been blurred and covered with paint. This act is reflective of a "blank canvas" idea, often associated with models in general. While this idea is glamorous to the everyday individual, it illustrates models' lack of freedom when it comes to their self-expression.
Faceless Model Photography
This Portrait Series by Michael Zavros Blurs Subjects' Features
Trend Themes
1. Faceless Portraits - Opportunity for disruptive innovation in portrait photography by exploring the concept of blurring or obscuring facial features.
2. Ambiguous Art - Opportunity for disruptive innovation in the art industry by creating compositions that intentionally leave room for interpretation and evoke a dreamlike and surreal atmosphere.
3. Fashion Ambiguity - Opportunity for disruptive innovation in the fashion industry by challenging conventions and exploring the concept of ambiguity in styling and self-expression.
Industry Implications
1. Photography - Opportunity for disruptive innovation in the photography industry by experimenting with unconventional approaches to capturing human subjects.
2. Art - Opportunity for disruptive innovation in the art industry by exploring unconventional techniques that challenge traditional notions of portraiture.
3. Fashion - Opportunity for disruptive innovation in the fashion industry by redefining beauty standards and promoting inclusivity through the representation of diverse and ambiguous models.