activity
20242026
most citedGroup Diffusion Transformers are Unsupervised Multitask Learners

1 citations · 3 across the 14 of their papers we have counts for

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8 papers · 1 filter

eess.AS2026

WanSong v1.0 Technical Report

Binghui Chen, Pandeng Li, Yu Liu +1

Music generation foundation models have recently attracted significant industry attention. However, achieving efficient generation and high-fidelity long-form audio while supportin…

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

Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection

Yangjun Wu, Keyu Yan, Yu Liu +5

The rapid advancement of generative models presents a significant challenge to existing deepfake detection methods, particularly given the widespread dissemination of highly realis…

cs.CV2026

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation

Yupeng Zhou, Lianghua Huang, Zhifan Wu +7

In this work, we propose Mutual Forcing, a framework for fast autoregressive audio-video generation with long-horizon audio-video synchronization. Our approach addresses two key ch…

cs.IR2026

Harmonizing Generative Retrieval and Ranking in Chain-of-Recommendation

Yu Liu, Jiangxia Cao

Generative recommender systems have recently emerged as a promising paradigm by formulating next-item prediction as an auto-regressive semantic IDs generation, such as OneRec serie…

cs.CV2026

Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training

Jinbo Xing, Zeyinzi Jiang, Yuxiang Tuo +15

Recent unified models have made unprecedented progress in both understanding and generation. However, while most of them accept multi-modal inputs, they typically produce only sing…