most citedWan: Open and Advanced Large-Scale Video Generative Models

12 citations · 12 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CV2026

AffineTok: Semantic Affine Consistency for Diffusion-Friendly Visual Tokenizer

Junqiu Yu, Pandeng Li, Yikai Wang +11

Visual tokenizers increasingly inject semantic supervision into latent spaces to make downstream diffusion easier. Yet how these semantics should be organized to facilitate denoisi…

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

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

AIBench: Evaluating Visual-Logical Consistency in Academic Illustration Generation

Zhaohe Liao, Kaixun Jiang, Zhihang Liu +11

Although image generation has boosted various applications via its rapid evolution, whether the state-of-the-art models are able to produce ready-to-use academic illustrations for…

cs.CV2026

GenAgent: Scaling Text-to-Image Generation via Agentic Multimodal Reasoning

Kaixun Jiang, Yuzheng Wang, Junjie Zhou +6

We introduce GenAgent, unifying visual understanding and generation through an agentic multimodal model. Unlike unified models that face expensive training costs and understanding-…