activity
20242026
most citedHunyuanVideo: A Systematic Framework For Large Video Generative Models

9 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Prism: Dynamic Sparse Attention for Native 2K Joint Video-Audio Generation Model Training

Shuyuan Tu, Qi Tian, Yinming Huang +8

Natively training joint video-audio generation models at higher resolutions empowers them to learn richer visual details and sharper motion dynamics. However, full attention incurs…

cs.CV2026

OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning

Kaihang Pan, Qi Tian, Jianwei Zhang +12

While proprietary systems such as Seedance-2.0 have achieved remarkable success in omni-capable video generation, the academic research community lags far behind: most of its model…

cs.CV2026

Manifold-Aware Exploration for Reinforcement Learning in Video Generation

Mingzhe Zheng, Weijie Kong, Yue Wu +9

Group Relative Policy Optimization (GRPO) methods for video generation like FlowGRPO remain far less reliable than their counterparts for language models and images. This gap arise…

cs.CV2025

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model

Ruihuang Li, Caijin Zhou, Shoujian Zheng +55

Intelligent game creation represents a transformative advancement in game development, utilizing generative artificial intelligence to dynamically generate and enhance game content…

cs.CV2024★ 9 cited

HunyuanVideo: A Systematic Framework For Large Video Generative Models

Weijie Kong, Qi Tian, Zijian Zhang +49

Recent advancements in video generation have significantly impacted daily life for both individuals and industries. However, the leading video generation models remain closed-sourc…