Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
Aes3D, the first systematic framework for assessing the aesthetics of 3D neural rendering scenes, is proposed, and Aes3DGSNet, a lightweight model that directly predicts scene-level aesthetic scores from 3DGS representations, is presented, a lightweight model that operates solely on 3D Gaussian primitives.