You can now automatically evaluate whether a 3D scene looks visually appealing by analyzing its Gaussian Splatting representation directly, which is faster and cheaper than traditional rendering-based assessment methods.
This paper introduces Aes3D, the first framework for evaluating the visual aesthetics of 3D scenes created with Gaussian Splatting. It includes a new dataset with aesthetic annotations and a lightweight model that directly assesses aesthetic qualities like composition and harmony from 3D Gaussian primitives, without needing to render images.