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cs.CV2026

VicEdit: Learning to Edit Videos from Visual In-Context Examples

Yuji Wang, Teng Hu, Yuheng Chen +6

Despite progress in instruction-based video editing, unimodal textual instructions inherently struggle to convey fine-grained textures and complex dynamics. To bridge this perceptu…

cs.CV2026

PersonaShot: Benchmarking Person-Centric Narrative Continuity in Multi-Shot Video Generation

Yuji Wang, Yuheng Chen, Teng Hu +7

Video generation is rapidly evolving from single-shot clips to multi-shot narratives, where the human character serves as the core narrative anchor. However, existing benchmarks ma…

cs.CV2026

STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding

Zhu Chen, Dingkun Liu, Yuheng Chen +1

Brain-computer interfaces (BCIs) have been widely used in motor rehabilitation, disease diagnosis, and other neural engineering scenarios. However, conventional neural signal decod…

cs.CV2026

CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation

Yuheng Chen, Teng Hu, Yuji Wang +7

The fidelity and structural diversity of training datasets fundamentally determine the capabilities of video generation models. While commercial systems showremarkableabilitytogene…

cs.CV2026

Spatial-Temporal Decoupled Reference Conditioning for Identity-Preserving Text-to-Video Generation

Yuheng Chen, Teng Hu, Yuji Wang +3

Identity-preserving video generation (IPVG) aims to synthesize high-fidelity videos that follow text prompts while faithfully preserving a reference identity. Despite recent progre…

cs.CV2026

Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation

Yuheng Chen, Qingdong He, Teng Hu +4

The landscape of joint audio and video generation has been fundamentally transformed by the advent of powerful foundation models. Despite these strides, achieving cohesive multimod…