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Jul 20, 2024 · The paper presents a novel modular framework called AesMamba for Image Aesthetic Assessment (IAA). AesMamba leverages Visual State Space Models (VMamba)
Oct 28, 2024 · In this paper, we explore this issue, and propose a modular IAA framework, dubbed AesMamba. Specially, we use the Visual State Space Model (VMamba), instead of ...
Figure 1: Our AesMamba models achieve superior or highly competitive performance, in diverse Image Aesthetic Assessment.
Oct 30, 2024 · SUMMARY Filtering and smoothing using a non-Gaussian state space model are proposed for motion trajectory of feature point in image sequence. A ...
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2023. AesMamba: Universal Image Aesthetic Assessment with State Space Models. F Gao, Y Lin, J Shi, M Qiao, N Wang. Proceedings of the 32nd ACM International ...
Image aesthetic assessment (IAA) aims to design algorithms that can make human-like aesthetic decisions. Due to its high subjectivity and complexity, ...
This study presents a multi-task convolutional neural network that takes into account some aesthetic attributes of images and achieves near-human performance.
The dataset consists of 11,125 images taken by 66 smartphones, and each image including an overall label, an image attribute label, and a scene category label.
Fei Gao, Yuhao Lin, Jiaqi Shi, Maoying Qiao, Nannan Wang*. AesMamba: Universal Image Aesthetic Assessment with State Space Models. ACM International ...