Author

Jiang Lin

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Preprint Sep 2026

SemantiScene-Edit: Expert-Synthesized Supervision and Dual-Path Source Conditioning for Instruction-Based Video Editing

Instruction-guided video editing requires executing a requested change while preserving the source video's appearance and temporal structure. We present SemantiScene-Edit, a video editor that couples a multimodal encoder with a pretrained video diffusion transformer. The encoder jointly processes source frames and the...

Xin-Yu Chen, Song-Han Wu, Di Shao et al. · 0 citations

#artificial intelligence Preprint Sep 2026

VideoX-Qwen: Data-Centric Instruction-Based Video Editing

VideoX-Qwen, an integrated data-construction and model-training framework for general instruction-based video editing, and a unified Qwen-Wan editor that combines multimodal semantic conditioning with dense source-video latent guidance provide a practical foundation for more capable instruction-driven video editing.

J.Jenny Li, Di Shao, Xin-Yu Chen et al. · 0 citations

Preprint Aug 2026

InstructVVT: Instruction-Driven Video Virtual Try-On without Auxiliary Spatial Priors

InstructVVT is proposed, an instruction-driven and reference-guided video virtual try-on framework based on a Diffusion Transformer that operates without inference-time spatial priors that outperforms state-of-the-art open-source methods in garment fidelity, structural preservation, and temporal consistency, despite re...

Di Shao, Song-Han Wu, Xin-Yu Chen et al. · 0 citations