2 citations · 3 across the 12 of their papers we have counts for
4 papers · 1 filter
Morph: A Motion-free Physics Optimization Framework for Human Motion Generation
Zhuo Li, Mingshuang Luo, Ruibing Hou +5
Human motion generation has been widely studied due to its crucial role in areas such as digital humans and humanoid robot control. However, many current motion generation approach…
Pre-Trained Vision-Language Models as Partial Annotators
Qian-Wei Wang, Yuqiu Xie, Letian Zhang +2
Pre-trained vision-language models learn massive data to model unified representations of images and natural languages, which can be widely applied to downstream machine learning t…
MGPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
Mingshuang Luo, Ruibing Hou, Zhuo Li +4
This paper presents MGPT, an advanced ultimodal, ultitask framework for otion comprehension and generation. MGPT operates on three funda…
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding
Xiang Liu, Jiahong Chen, Bin Chen +4
Displaying high-quality images on edge devices, such as augmented reality devices, is essential for enhancing the user experience. However, these devices often face power consumpti…