papers

Publications (7)

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…

cs.CV2026

TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation

Bojun Xiong, Zoubin Bi, Xinghui Peng +6

High-fidelity 3D head generation plays a crucial role in the film, animation and video game industries. In industrial pipelines, studios typically enforce a fixed reference topolog…

cs.CV2024

GS^3: Efficient Relighting with Triple Gaussian Splatting

Zoubin Bi, Yixin Zeng, Chong Zeng +4

We present a spatial and angular Gaussian based representation and a triple splatting process, for real-time, high-quality novel lighting-and-view synthesis from multi-view point-l…

cs.CV2026

Video = World + Event Stream

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

The paper introduces Wan-Streamer v0.3, a model that treats video as a combination of a persistent world and a dynamic event stream, enabling real-time multimodal audio‑visual inte…

#video streaming#multimodal interaction#real-time AI#audio-visual modeling
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

High-Fidelity Single-Image Head Modeling with Industry-Grade Topology

Yunmu Wang, Zoubin Bi, Bowen Cai +6

We present a single-image head mesh reconstruction framework that addresses the longstanding challenge of simultaneously preserving facial identity and producing industry-grade top…

cs.CV2024

ARM: Appearance Reconstruction Model for Relightable 3D Generation

Xiang Feng, Chang Yu, Zoubin Bi +6

Recent image-to-3D reconstruction models have greatly advanced geometry generation, but they still struggle to faithfully generate realistic appearance. To address this, we introdu…