collaborators

5 papers

cs.CV2026

Tether the Subject, Release the Scene: Query-Aware Memory Routing for Long-Horizon Autoregressive Video Generation

Chen Li, Peng Zhang, Hanyu Zhou +5

Streaming autoregressive video models generate long videos chunk by chunk, using historical memory to maintain consistency. Existing methods typically expose subject and scene quer…

cs.CV2026

Video = World + Event Stream

Lianghua Huang, Zhi-Fan Wu, Yupeng Shi +24

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 persis…

cs.CV2026

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

Lianghua Huang, Zhi-Fan Wu, Yupeng Shi +23

We present Wan-Streamer v0.2, a latency-preserving upgrade of the native-streaming, end-to-end audio-visual interaction model. v0.2 keeps the v0.1 modeling formulation, but raises…

cs.CV2026

TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration

Yang Zhou, Wenxue Li, Peng Zhang +3

Face Video Restoration (FVR) aims to recover high-fidelity facial videos from degraded input while preserving identity and semantic consistency across frames. Existing methods ofte…

cs.CV2026

Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models

Lianghua Huang, Zhi-Fan Wu, Wei Wang +22

We present Wan-Streamer, a native-streaming, end-to-end interactive foundation model designed from the ground up for real-time, low-latency, full-duplex audio-visual interaction. W…