Beyond Parallax: Neural Radiance Fields and Invisual Representation

With the emergence of Neural Radiance Fields (NeRFs) in 2020 there have been a series of ongoing innovations in computer vision with a particular focus on new forms of representational practice. Through these cutting-edge techniques, which draw from traditionally photogrammetric processes underpinned by artificial intelligence, our conventional optical methods of reconstruction and representation in metrology have begun to undergo radical evolution. These innovative methodologies are challenging how we understand the operationalization of the image and are ushering in an 'invisual' era, redefining how we generate and deploy images with non-conventional paradigms of parallax, and resulting in a post-lenticular form of architectural representation. This paper aims to explore this paradigm shift, probing the operational essence of architectural imagery crafted through multiple generative A.I. systems and this post-digital practice, whilst highlighting the myriad of opportunities within an expanding invisual domain beyond our known parallax.