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Open access Sep 2026

Generative models for automated visual effects in film post-production

To address the core bottlenecks of high cost, long production cycle, and high technical barriers in traditional film post-production visual effects (VFX), this paper proposes CineFX-Diff, a cascaded conditional diffusion model for automated visual effects generation. The proposed framework comprises four tightly couple...

Kai Zhang, Di Wu, Ya-Nan Xu et al. · 0 citations
Open access Oct 2026

Generative models for interactive content creation and understanding in smart imaging

Generative diffusion models have achieved substantial progress in image content creation, yet practical interactive generation remains challenging when heterogeneous conditions must be jointly interpreted, fine-grained attributes must be controlled independently, and users need to iteratively refine generated results....

Di Wu, Shuai Bai, Hai-Long Li · 0 citations
Open access Sep 2026

Timepop a posting time aware deep model for short video popularity prediction

SShort-video platforms have experienced explosive growth, making automated popularity prediction one of the core challenges in social media analytics and recommender systems. Existing methods predominantly focus on visual content or social network features, while systematically neglecting the temporal signal embedded i...

Di Wu, Yan-Fei Zhou, Hai-Long Li et al. · 0 citations
#diffusion models Open access Sep 2026

Multimodal content generation and enhancement for smart imaging

With the rapid development of deep learning technology, multimodal content generation has shown substantial application potential in fields such as medical imaging, industrial inspection, and creative design. However, existing methods face semantic gap problems in cross-modal feature fusion and struggle to simultaneous...

Kai Zhang, Di Wu, Yu-Qing Song et al. · 0 citations

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