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Author

Duo Li

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#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
Preprint Aug 2026

EgoMonth: A Month-Level Egocentric Video Benchmark for Long-Term Spatiotemporal Memory

Evaluation of state-of-the-art open-source and closed-source MLLMs reveals that current MLLMs function as lossy summarizers rather than faithful memorizers, highlighting the need for architectures with genuine long-term spatiotemporal memory.

Weitao Chen, Jiaxing Hu, Xie Tianyidan et al. · 2 citations · ⚡1

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