Semi-automatic A.I.-Specified Stereographic Scene Rendering Techniques Across Various Displays

Autor: Tanagi Shunsuke, Cohen Michael
Jazyk: English<br />French
Rok vydání: 2024
Předmět:
Zdroj: SHS Web of Conferences, Vol 194, p 03004 (2024)
Druh dokumentu: article
ISSN: 2261-2424
DOI: 10.1051/shsconf/202419403004
Popis: Semi-automatic, A.I.-specified stereographic scene processing is achieved by extending Blender with ChatGPT. We can generate objects and set scenes in Blender semi-automatically by invoking appropriate text prompts. Stereography techniques include anaglyphy, chromastereoscopy, and side-by-side display using binocular viewing. One can create a similar scene by copying and pasting the prompt used. It cannot always work identically, but it behaves roughly the same. First, we established Skybox and added scene Objects (Camera, Cube, etc.) in 3D view, materials, and animation with prompt. Stereographic images are created semiautomatically and compared across some qualities. The goal of this research is to validate those various stereographic techniques as rendered automatically in Blender.
Databáze: Directory of Open Access Journals