5 papers
Not all tokens contribute equally to diffusion learning
Guoqing Zhang, Lu Shi, Wanru Xu +4
With the rapid development of conditional diffusion models, significant progress has been made in text-to-video generation. However, we observe that these models often neglect sema…
ACE-Step 1.5: Pushing the Boundaries of Open-Source Music Generation
Junmin Gong, Yulin Song, Wenxiao Zhao +4
We present ACE-Step v1.5, a highly efficient open-source music foundation model that brings commercial-grade generation to consumer hardware. On commonly used evaluation metrics, A…
Laugh, Relate, Engage: Stylized Comment Generation for Short Videos
Xuan Ouyang, Senan Wang, Bouzhou Wang +3
Short-video platforms have become a central medium in the modern Internet landscape, where efficient information delivery and strong interactivity are reshaping user engagement and…
ACE-Step: A Step Towards Music Generation Foundation Model
Junmin Gong, Sean Zhao, Sen Wang +2
We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance thr…
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…