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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
#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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