Zobrazeno 1 - 10
of 1 558
pro vyhledávání: '"LI Jintao"'
Autor:
Xu, Ziyi, Huang, Ziyao, Cao, Juan, Zhang, Yong, Cun, Xiaodong, Shuai, Qing, Wang, Yuchen, Bao, Linchao, Li, Jintao, Tang, Fan
The automatic generation of anchor-style product promotion videos presents promising opportunities in online commerce, advertising, and consumer engagement. However, this remains a challenging task despite significant advancements in pose-guided huma
Externí odkaz:
http://arxiv.org/abs/2411.17383
Autor:
Xu, Yu, Tang, Fan, Cao, Juan, Zhang, Yuxin, Kong, Xiaoyu, Li, Jintao, Deussen, Oliver, Lee, Tong-Yee
Diffusion Transformers (DiTs) have exhibited robust capabilities in image generation tasks. However, accurate text-guided image editing for multimodal DiTs (MM-DiTs) still poses a significant challenge. Unlike UNet-based structures that could utilize
Externí odkaz:
http://arxiv.org/abs/2411.15034
Autor:
Li, Jintao, Zhi, Haochang, Lyu, Ruiyu, Li, Wangzhen, Bi, Zhaori, Zhu, Keren, Zeng, Yanhan, Shan, Weiwei, Yan, Changhao, Yang, Fan, Li, Yun, Zeng, Xuan
Recent advances in machine learning (ML) for automating analog circuit synthesis have been significant, yet challenges remain. A critical gap is the lack of a standardized evaluation framework, compounded by various process design kits (PDKs), simula
Externí odkaz:
http://arxiv.org/abs/2409.08534
Publikováno v:
Remote Sens. 2024, 16(16), 3030
This paper primarily investigates the effect of the tilt of corner cube reflector (CCR) arrays on lunar laser ranging (LLR). A mathematical model was established to study the random errors caused by the tilt of the CCR arrays. The study found that, i
Externí odkaz:
http://arxiv.org/abs/2408.09260
As short-form video-sharing platforms become a significant channel for news consumption, fake news in short videos has emerged as a serious threat in the online information ecosystem, making developing detection methods for this new scenario an urgen
Externí odkaz:
http://arxiv.org/abs/2407.16670
Publikováno v:
CIKM 2024
Fake news detection plays a crucial role in protecting social media users and maintaining a healthy news ecosystem. Among existing works, comment-based fake news detection methods are empirically shown as promising because comments could reflect user
Externí odkaz:
http://arxiv.org/abs/2405.16631
Concept personalization methods enable large text-to-image models to learn specific subjects (e.g., objects/poses/3D models) and synthesize renditions in new contexts. Given that the image references are highly biased towards visual attributes, state
Externí odkaz:
http://arxiv.org/abs/2403.20231
Autor:
Xu, Yu, Tang, Fan, Cao, Juan, Zhang, Yuxin, Deussen, Oliver, Dong, Weiming, Li, Jintao, Lee, Tong-Yee
Personalized generation paradigms empower designers to customize visual intellectual properties with the help of textual descriptions by tuning or adapting pre-trained text-to-image models on a few images. Recent works explore approaches for concurre
Externí odkaz:
http://arxiv.org/abs/2403.19456
Despite the remarkable process of talking-head-based avatar-creating solutions, directly generating anchor-style videos with full-body motions remains challenging. In this study, we propose Make-Your-Anchor, a novel system necessitating only a one-mi
Externí odkaz:
http://arxiv.org/abs/2403.16510
Autor:
Zeng, Shulin, Liu, Jun, Dai, Guohao, Yang, Xinhao, Fu, Tianyu, Wang, Hongyi, Ma, Wenheng, Sun, Hanbo, Li, Shiyao, Huang, Zixiao, Dai, Yadong, Li, Jintao, Wang, Zehao, Zhang, Ruoyu, Wen, Kairui, Ning, Xuefei, Wang, Yu
Transformer-based Large Language Models (LLMs) have made a significant impact on various domains. However, LLMs' efficiency suffers from both heavy computation and memory overheads. Compression techniques like sparsification and quantization are comm
Externí odkaz:
http://arxiv.org/abs/2401.03868