collaborators

9 papers

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

Vidu S1: A Real-Time Interactive Video Generation Model

Jintao Zhang, Kai Jiang, Jintao Chen +24

We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters. Users can control video generation content at any moment throug…

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

DeltaCam: Differential Intrinsic Camera Modeling for Video Generation

Debabrata Mandal, Zhihan Peng, Yujie Wang +1

Incorporating camera intrinsics into video generation models offers a principled way to control not only scene dynamics but also the imaging process that governs visual appearance.…

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…

cs.CV2025

Collaborative Face Experts Fusion in Video Generation: Boosting Identity Consistency Across Large Face Poses

Yuji Wang, Moran Li, Xiaobin Hu +7

Current video generation models struggle with identity preservation under large face poses, primarily facing two challenges: the difficulty in exploring an effective mechanism to i…

cs.CV2025

Semantic Frame Interpolation

Yijia Hong, Jiangning Zhang, Ran Yi +4

Generating intermediate video content of varying lengths based on given first and last frames, along with text prompt information, offers significant research and application poten…

cs.CV2025

Identity-Preserving Text-to-Video Generation Guided by Simple yet Effective Spatial-Temporal Decoupled Representations

Yuji Wang, Moran Li, Xiaobin Hu +7

Identity-preserving text-to-video (IPT2V) generation, which aims to create high-fidelity videos with consistent human identity, has become crucial for downstream applications. Howe…