With the rapid advances in visual perception and processing technologies, it has become easier to create 3D models (three dimensional visuals that have width height and depth data) of objects by processing 2D (two dimensional images that have width and height data like photography) images obtained from real life with the help of certain algorithms. These systems, which convert from two-dimensional painting to three-dimensional model format, now describe and translate most objects correctly. Like photogrametry and laser scanning, is used to quickly transfer large areas to 3D media, especially with coating materials. 3D images obtained by scanning 2D images show differences in terms of the obtained model quality and polygon density. This system, which serves to obtain very fast 3D models, is frequently used in computer games development, digital art and production / cinema studies, painting, sculpting, ceramic and photography to obtain a spesific result. In the research, image-based 3D model creation technologies were mentioned. The types of this technology and its usage purposes, methods and problems are the topics of this article Also problems faced while engaging the models accured from this methods to other platforms are included in the article. In this context, the aim of the study is to recognize the new scanning modeling processes and algorithms supported by artificial intelligence and to determine the usage areas of these modeling techniques in art.
Keywords: Art, 3D Model, A.I., LIDAR, Photogrametry, Digital Art