3D View Optimization for Improving Image Aesthetics

• URL: http://arxiv.org/abs/2405.16443v1
• Date: Sun, 26 May 2024 05:59:22 GMT
• Title: 3D View Optimization for Improving Image Aesthetics
• Authors: Taichi Uchida, Yoshihiro Kanamori, Yuki Endo,
• Abstract summary: We introduce a pioneering method that employs 3D operations to simulate the conditions at the moment of capture retrospectively. Our approach extrapolates the input image and then reconstructs the 3D scene from the extrapolated image, followed by an optimization to identify camera parameters and image aspect ratios that yield the best 3D view with enhanced aesthetics.
• Score: 1.529342790344802
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Achieving aesthetically pleasing photography necessitates attention to multiple factors, including composition and capture conditions, which pose challenges to novices. Prior research has explored the enhancement of photo aesthetics post-capture through 2D manipulation techniques; however, these approaches offer limited search space for aesthetics. We introduce a pioneering method that employs 3D operations to simulate the conditions at the moment of capture retrospectively. Our approach extrapolates the input image and then reconstructs the 3D scene from the extrapolated image, followed by an optimization to identify camera parameters and image aspect ratios that yield the best 3D view with enhanced aesthetics. Comparative qualitative and quantitative assessments reveal that our method surpasses traditional 2D editing techniques with superior aesthetics.

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