Zobrazeno 1 - 10
of 555
pro vyhledávání: '"Liu Zhiheng"'
Autor:
Zhou, Yuan, Zhang, Peng, Song, Mengya, Zheng, Alice, Lu, Yiwen, Liu, Zhiheng, Chen, Yong, Xi, Zhaohan
Large language models (LLMs) have demonstrated remarkable progress in healthcare. However, a significant gap remains regarding LLMs' professionalism in domain-specific clinical practices, limiting their application in real-world diagnostics. In this
Externí odkaz:
http://arxiv.org/abs/2410.02026
Autor:
Fang, Zixun, Zhai, Wei, Su, Aimin, Song, Hongliang, Zhu, Kai, Wang, Mao, Chen, Yu, Liu, Zhiheng, Cao, Yang, Zha, Zheng-Jun
Video virtual try-on aims to transfer a clothing item onto the video of a target person. Directly applying the technique of image-based try-on to the video domain in a frame-wise manner will cause temporal-inconsistent outcomes while previous video-b
Externí odkaz:
http://arxiv.org/abs/2405.11794
Autor:
Liu, Zhiheng, Ouyang, Hao, Wang, Qiuyu, Cheng, Ka Leong, Xiao, Jie, Zhu, Kai, Xue, Nan, Liu, Yu, Shen, Yujun, Cao, Yang
3D Gaussians have recently emerged as an efficient representation for novel view synthesis. This work studies its editability with a particular focus on the inpainting task, which aims to supplement an incomplete set of 3D Gaussians with additional p
Externí odkaz:
http://arxiv.org/abs/2404.11613
Autor:
Xiao, Jie, Zhu, Kai, Zhang, Han, Liu, Zhiheng, Shen, Yujun, Liu, Yu, Fu, Xueyang, Zha, Zheng-Jun
Consistency Models (CMs) have showed a promise in creating visual content efficiently and with high quality. However, the way to add new conditional controls to the pretrained CMs has not been explored. In this technical report, we consider alternati
Externí odkaz:
http://arxiv.org/abs/2312.06971
Autor:
Wei, Yujie, Zhang, Shiwei, Qing, Zhiwu, Yuan, Hangjie, Liu, Zhiheng, Liu, Yu, Zhang, Yingya, Zhou, Jingren, Shan, Hongming
Customized generation using diffusion models has made impressive progress in image generation, but remains unsatisfactory in the challenging video generation task, as it requires the controllability of both subjects and motions. To that end, we prese
Externí odkaz:
http://arxiv.org/abs/2312.04433
Despite the recent progress in text-to-video generation, existing studies usually overlook the issue that only spatial contents but not temporal motions in synthesized videos are under the control of text. Towards such a challenge, this work presents
Externí odkaz:
http://arxiv.org/abs/2312.02928
Autor:
Liu, Zhiheng, Zhang, Yifei, Shen, Yujun, Zheng, Kecheng, Zhu, Kai, Feng, Ruili, Liu, Yu, Zhao, Deli, Zhou, Jingren, Cao, Yang
Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, existing algorithms suffer from high training cost and low success rate alo
Externí odkaz:
http://arxiv.org/abs/2305.19327
Autor:
Liu, Zhiheng, Feng, Ruili, Zhu, Kai, Zhang, Yifei, Zheng, Kecheng, Liu, Yu, Zhao, Deli, Zhou, Jingren, Cao, Yang
Human brains respond to semantic features of presented stimuli with different neurons. It is then curious whether modern deep neural networks admit a similar behavior pattern. Specifically, this paper finds a small cluster of neurons in a diffusion m
Externí odkaz:
http://arxiv.org/abs/2303.05125
Exemplar-based class-incremental learning is to recognize new classes while not forgetting old ones, whose samples can only be saved in limited memory. The ratio fluctuation of new samples to old exemplars, which is caused by the variation of memory
Externí odkaz:
http://arxiv.org/abs/2202.03703
Autor:
Zhang, Kai, Wang, Lei, Liu, Zhiheng, Li, Guijing, Ma, Shihui, Liu, Zaixing, Luo, Tingting, Zheng, Jia-nan, Wu, Zhaoran
Publikováno v:
In Geoenergy Science and Engineering October 2024 241
