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Profil bibliographique

Yijun Liu

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

8Publications signalées
0Citations signalées
0Affiliations récentes

Les domaines associés

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing TechniquesImage and Video Quality AssessmentFace recognition and analysisMultimodal Machine Learning Applications

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

EchoWM: Open and Enterable Omnimodal World Models

Songchun Zhang, Yaowei Li, Junhao Zhuang, Weiyang Jin et autres

We present EchoWM, an omnimodal world model for enterable generative media that responds to continuous navigation while jointly generating 720p video, environmental sound, music and speech. We organize interaction around camera intent: in first-person scenes, it specifies observer motion, while in third-person …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Long-Horizon Audio-Visual Generation for Persistent Stories and Interactive Worlds

Nan Duan, Haoyang Huang, Weiyang Jin, Haoran Li et autres

Video generation is progressing beyond isolated clips toward long-form narratives and interactive worlds, requiring models to preserve identities, follow user controls, and remain stable over extended rollouts. We present JoyAI-Echo-1.5, a unified audio-visual generation system with two purpose-built variants. The long-video variant …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

HPSv3++: Scaling Reward Models Across the Full Spectrum of Diffusion Model Capabilities

Yijun Liu, J W Huang, Zeyue Xue, Yuming Li et autres

Reward models guide text-to-image (T2I) systems toward outputs aligned with human preferences. However, typical reward models such as HPSv3 are trained on pre-annotated data from earlier T2I models, without accounting for quality discriminative shifts arising from evolving model capabilities and reinforcement learning …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions

Luxury, Jie Huang, Zihao Fan, Xiaoxiao Ma et autres

While recent autoregressive video diffusion models achieve remarkable streaming quality, they remain confined to low resolutions (e.g., 480P), leaving efficient, scalable, real-time high-resolution video generation a fundamental open challenge. To bridge this gap, we present Ultra Flash, a cascaded streaming framework capable …

0 citations arXiv (Cornell University)

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