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Assessing Photorealism of Rendered Objects in Real-World Images: A Transparent and Reproducible User Study

2024/07/01 by Sven Kluge, Kluge, Sven, Oliver Staadt +1
Computer Science · Earth and Planetary Sciences · Neuroscience · #3D Surveying and Cultural Heritage #Aesthetic Perception and Analysis #FOS: Computer and information sciences #Graphics (cs.GR) #Human-Computer Interaction (cs.HC) #Visual Attention and Saliency Detection

paper · pdf · doi:10.48550/arxiv.2407.01767

openalex publication_date 2024/07/01 · openalex created_date 2024/07/06 · openalex updated_date 2026/07/28

Abstract

In an era where numerous studies claim to achieve almost photorealism with real-time automated environment capture, there is a need for assessments and reproducibility in this domain. This paper presents a transparent and reproducible user study aimed at evaluating the photorealism of real-world images composed with virtual rendered objects, that have been generated using classical environment capturing and rendering techniques. We adopted a two-alternative forced choice methodology to compare pairs of images created by integrating virtual objects into real photographs, following a classic pipeline. A control group with defined directional light parameters was included to validate the study's correctness. The findings revealed some insights, suggesting that observers experienced difficulties in differentiating between rendered and real objects. This work establishes the groundwork for future studies, aimed at enhancing the visual fidelity and realism of virtual objects in real-world environments.

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