37 citations · 53 across the 7 of their papers we have counts for
8 papers
Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification
Xun Zhu, Fanbin Mo, Xi Chen +6
The rise of multimodal large language models (MLLMs) has sparked an unprecedented wave of applications in the field of medical imaging analysis. However, as one of the earliest and…
InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing
Shaoshu Yang, Zhe Kong, Feng Gao +8
Recent breakthroughs in video AIGC have ushered in a transformative era for audio-driven human animation. However, conventional video dubbing techniques remain constrained to mouth…
DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution
Zhe Kong, Le Li, Yong Zhang +8
Real-world video super-resolution (VSR) presents significant challenges due to complex and unpredictable degradations. Although some recent methods utilize image diffusion models f…
MedM-VL: What Makes a Good Medical LVLM?
Yiming Shi, Shaoshuai Yang, Xun Zhu +4
Medical image analysis is essential in modern healthcare. Deep learning has redirected research focus toward complex medical multimodal tasks, including report generation and visua…
ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation
Shaoshu Yang, Yong Zhang, Xiaodong Cun +2
Video generation has made remarkable progress in recent years, especially since the advent of the video diffusion models. Many video generation models can produce plausible synthet…
CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Sijie Zhao, Yong Zhang, Xiaodong Cun +5
Spatio-temporal compression of videos, utilizing networks such as Variational Autoencoders (VAE), plays a crucial role in OpenAI's SORA and numerous other video generative models.…
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Haoxin Chen, Menghan Xia, Yingqing He +9
Video generation has increasingly gained interest in both academia and industry. Although commercial tools can generate plausible videos, there is a limited number of open-source m…
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
Yingqing He, Shaoshu Yang, Haoxin Chen +7
In this work, we investigate the capability of generating images from pre-trained diffusion models at much higher resolutions than the training image sizes. In addition, the genera…