Zobrazeno 1 - 10
of 4 326
pro vyhledávání: '"Fu Yun"'
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
With the intelligent development of power systems, the number of relays continues to increase. Differences in manufacturers, systems, and protocols lead to growing security risks. Tampering with relay settings could potentially cause power outages or
Externí odkaz:
https://doaj.org/article/d5f80739ae1643a4b43852921d06659e
Autor:
Li, Yijin, Shen, Yichen, Huang, Zhaoyang, Chen, Shuo, Bian, Weikang, Shi, Xiaoyu, Wang, Fu-Yun, Sun, Keqiang, Bao, Hujun, Cui, Zhaopeng, Zhang, Guofeng, Li, Hongsheng
Recent advances in event-based vision suggest that these systems complement traditional cameras by providing continuous observation without frame rate limitations and a high dynamic range, making them well-suited for correspondence tasks such as opti
Externí odkaz:
http://arxiv.org/abs/2410.20451
Diffusion models achieve superior generation quality but suffer from slow generation speed due to the iterative nature of denoising. In contrast, consistency models, a new generative family, achieve competitive performance with significantly faster s
Externí odkaz:
http://arxiv.org/abs/2410.18958
Diffusion models have greatly improved visual generation but are hindered by slow generation speed due to the computationally intensive nature of solving generative ODEs. Rectified flow, a widely recognized solution, improves generation speed by stra
Externí odkaz:
http://arxiv.org/abs/2410.07303
Autor:
Zeng, Bohan, Yang, Ling, Li, Siyu, Liu, Jiaming, Zhang, Zixiang, Tian, Juanxi, Zhu, Kaixin, Guo, Yongzhen, Wang, Fu-Yun, Xu, Minkai, Ermon, Stefano, Zhang, Wentao
Recent advances in diffusion models have demonstrated exceptional capabilities in image and video generation, further improving the effectiveness of 4D synthesis. Existing 4D generation methods can generate high-quality 4D objects or scenes based on
Externí odkaz:
http://arxiv.org/abs/2410.07155
Autor:
Wang, Wenqing, Fu, Yun
Audio-driven video portrait synthesis is a crucial and useful technology in virtual human interaction and film-making applications. Recent advancements have focused on improving the image fidelity and lip-synchronization. However, generating accurate
Externí odkaz:
http://arxiv.org/abs/2410.17262
Autor:
Wang, Huan, Tan, Feitong, Bai, Ziqian, Zhang, Yinda, Liu, Shichen, Xu, Qiangeng, Chai, Menglei, Prabhu, Anish, Pandey, Rohit, Fanello, Sean, Huang, Zeng, Fu, Yun
Recent works have shown that neural radiance fields (NeRFs) on top of parametric models have reached SOTA quality to build photorealistic head avatars from a monocular video. However, one major limitation of the NeRF-based avatars is the slow renderi
Externí odkaz:
http://arxiv.org/abs/2409.18057
Autor:
Mao, Xiaofeng, Jiang, Zhengkai, Wang, Fu-Yun, Zhu, Wenbing, Zhang, Jiangning, Chen, Hao, Chi, Mingmin, Wang, Yabiao
Video diffusion models have shown great potential in generating high-quality videos, making them an increasingly popular focus. However, their inherent iterative nature leads to substantial computational and time costs. While efforts have been made t
Externí odkaz:
http://arxiv.org/abs/2409.11367
Vision foundation models are renowned for their generalization ability due to massive training data. Nevertheless, they demand tremendous training resources, and the training data is often inaccessible, e.g., CLIP, DINOv2, posing great challenges to
Externí odkaz:
http://arxiv.org/abs/2407.10366
Training large language models (LLMs) and multimodal LLMs necessitates significant computing resources, and existing publicly available LLMs are typically pre-trained on diverse, privately curated datasets spanning various tasks. For instance, LLaMA,
Externí odkaz:
http://arxiv.org/abs/2407.08196