95 citations · 659 across the 48 of their papers we have counts for
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cs.AI2023★ 95 cited
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei, Leigang Qu +2
While recently Multimodal Large Language Models (MM-LLMs) have made exciting strides, they mostly fall prey to the limitation of only input-side multimodal understanding, without t…
cs.AI2023★ 13 cited
Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs
Hao Fei, Shengqiong Wu, Wei Ji +2
Text-to-video (T2V) synthesis has gained increasing attention in the community, in which the recently emerged diffusion models (DMs) have promisingly shown stronger performance tha…