6 papers
On Semiotic-Grounded Interpretive Evaluation of Generative Art
Ruixiang Jiang, Changwen Chen
Interpretation is essential to deciphering the language of art: audiences communicate with artists by recovering meaning from visual artifacts. However, current Generative Art (Gen…
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion
Ruixiang Jiang, Lingbo Liu, Changwen Chen
Despite the demonstrated parameter efficiency of prompt-based fusion, its limited adaptivity and expressiveness hinder its effectiveness for multimodal applications at scale. In th…
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Ruixiang Jiang, Changwen Chen
The rapid technical progress of generative art (GenArt) has democratized the creation of visually appealing imagery. However, achieving genuine artistic impact - the kind that reso…
DiffArtist: Towards Structure and Appearance Controllable Image Stylization
Ruixiang Jiang, Changwen Chen
Artistic styles are defined by both their structural and appearance elements. Existing neural stylization techniques primarily focus on transferring appearance-level features such…
Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning
Zeyu Xi, Haoying Sun, Yaofei Wu +5
Existing sports video captioning methods often focus on the action yet overlook player identities, limiting their applicability. Although some methods integrate extra information t…
Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling
Yunhan Ren, Ruihuang Li, Lingbo Liu +1
Instance segmentation of prohibited items in security X-ray images is a critical yet challenging task. This is mainly caused by the significant appearance gap between prohibited it…