Zobrazeno 1 - 10
of 3 571
pro vyhledávání: '"TANG, XU"'
Diffusion-based stylization methods typically denoise from a specific partial noise state for image-to-image and video-to-video tasks. This multi-step diffusion process is computationally expensive and hinders real-world application. A promising solu
Externí odkaz:
http://arxiv.org/abs/2412.18945
In legal practice, judges apply the trichotomous dogmatics of criminal law, sequentially assessing the elements of the offense, unlawfulness, and culpability to determine whether an individual's conduct constitutes a crime. Although current legal lar
Externí odkaz:
http://arxiv.org/abs/2412.14588
Autor:
Cai, Shuhui, Qin, Huafeng, Wang, Huapei, Deng, Chenglong, Yang, Saihong, Xu, Ya, Zhang, Chi, Tang, Xu, Gu, Lixin, Li, Xiaoguang, Shen, Zhongshan, Zhang, Min, He, Kuang, Qi, Kaixian, Fan, Yunchang, Dong, Liang, Hou, Yifei, Shi, Pingyuan, Liu, Shuangchi, Su, Fei, Chen, Yi, Li, Qiuli, Li, Jinhua, Mitchell, Ross N., He, Huaiyu, Li, Chunlai, Pan, Yongxin, Zhu, Rixiang
The evolution of the lunar magnetic field can reveal the Moon's interior structure, thermal history, and surface environment. The mid-to-late stage evolution of the lunar magnetic field is poorly constrained, and thus the existence of a long-lived lu
Externí odkaz:
http://arxiv.org/abs/2411.13719
Autor:
Wei, Xujun, Zhang, Feng, Zhang, Renhe, Li, Wenwen, Liu, Cuiping, Guo, Bin, Li, Jingwei, Fu, Haoyang, Tang, Xu
In the past few years, Artificial Intelligence (AI)-based weather forecasting methods have widely demonstrated strong competitiveness among the weather forecasting systems. However, these methods are insufficient for high-spatial-resolution short-ter
Externí odkaz:
http://arxiv.org/abs/2411.10144
Tuning-free personalized image generation methods have achieved significant success in maintaining facial consistency, i.e., identities, even with multiple characters. However, the lack of holistic consistency in scenes with multiple characters hampe
Externí odkaz:
http://arxiv.org/abs/2409.12576
In this paper, we explore cooperative and competitive coupled obstacle systems, which, up to now, are new type obstacle systems and formed by coupling two equations belonging to classical obstacle problem. On one hand, applying the constrained minimi
Externí odkaz:
http://arxiv.org/abs/2409.08478
Consistency distillation methods have demonstrated significant success in accelerating generative tasks of diffusion models. However, since previous consistency distillation methods use simple and straightforward strategies in selecting target timest
Externí odkaz:
http://arxiv.org/abs/2409.01347
Point cloud completion aims to recover accurate global geometry and preserve fine-grained local details from partial point clouds. Conventional methods typically predict unseen points directly from 3D point cloud coordinates or use self-projected mul
Externí odkaz:
http://arxiv.org/abs/2408.06596
Autor:
Yan, Cilin, Wang, Haochen, Jiang, Xiaolong, Hu, Yao, Tang, Xu, Kang, Guoliang, Gavves, Efstratios
Contrastive Vision-Language Pre-training(CLIP) demonstrates impressive zero-shot capability. The key to improve the adaptation of CLIP to downstream task with few exemplars lies in how to effectively model and transfer the useful knowledge embedded i
Externí odkaz:
http://arxiv.org/abs/2406.11252
Video-language pre-training is a typical and challenging problem that aims at learning visual and textual representations from large-scale data in a self-supervised way. Existing pre-training approaches either captured the correspondence of image-tex
Externí odkaz:
http://arxiv.org/abs/2405.07202