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Author

Bang Zhang

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Jul 2026

Video = World + Event Stream

We present Wan-Streamer v0.3, which reframes our native-streaming interaction model under a single organizing view: a video is a world plus an event stream. The world is the persistent context in which a video unfolds, including the environment, scene, subjects, ambient acoustic conditions, voice characteristics, and o...

Lianghua Huang, Zhigang Wu, Yupeng Shi et al. · 2 citations
Jul 2026

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation

MultiAnimate is introduced, a comprehensive framework that enables concurrent animation of multiple characters within a shared environment while preserving both identity consistency and spatial relationships and demonstrates its superiority in multiple character animation, particularly in scenarios involving complex mo...

Zhongyi Zhang, Guangyuan Wang, Liucheng Hu et al. · 0 citations
Jul 2026

Real-Time Human-Centric World Modeling for Upper-Body Human-Object Interaction

We present a real-time human-centric world model for upper-body interactive generation, aiming to synthesize coherent local world dynamics centered on a person, where coordinated body, hand, and facial motions evolve jointly with controllable human-object discrete interaction. To this end, we adopt a continuous-discret...

Chaonan Ji, Jin-Wei Qi, Peng Zhang et al. · 0 citations
Jul 2026

Wan-Streamer v0.2: Higher Resolution, Same Latency

Wan-Streamer v0.2 is presented, a latency-preserving upgrade of the native-streaming, end-to-end audio-visual interaction model, which raises the interactive output stream from 192x336 to 640x368 while preserving approximately 200 ms model-side signal-to-signal latency at 25 FPS.

Lianghua Huang, Zhigang Wu, Yupeng Shi et al. · 2 citations
Preprint Aug 2026

Wan-Animate-2: Pushing the Application Boundaries of Character Animation

Wan-Animate-2 is presented, an end-to-end character animation framework that directly consumes the driving video within a redesigned Diffusion Transformer and achieves superior motion fidelity and identity preservation by eliminating intermediate motion extractors entirely.

Guangyuan Wang, Liucheng Hu, Dechao Meng et al. · 3 citations

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