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pro vyhledávání: '"AN Junyan"'
Recent advancements in text-to-video (T2V) generative models have shown impressive capabilities. However, these models are still inadequate in aligning synthesized videos with human preferences (e.g., accurately reflecting text descriptions), which i
Externí odkaz:
http://arxiv.org/abs/2412.04814
Cultural heritage, a testament to human history and civilization, has gained increasing recognition for its significance in preservation and dissemination. The integration of immersive technologies has transformed how cultural heritage is presented,
Externí odkaz:
http://arxiv.org/abs/2412.02853
Autor:
Zhi, Hongyan, Chen, Peihao, Li, Junyan, Ma, Shuailei, Sun, Xinyu, Xiang, Tianhang, Lei, Yinjie, Tan, Mingkui, Gan, Chuang
Research on 3D Vision-Language Models (3D-VLMs) is gaining increasing attention, which is crucial for developing embodied AI within 3D scenes, such as visual navigation and embodied question answering. Due to the high density of visual features, espe
Externí odkaz:
http://arxiv.org/abs/2412.01292
Unequal access to costly datasets essential for empirical research has long hindered researchers from disadvantaged institutions, limiting their ability to contribute to their fields and advance their careers. Recent breakthroughs in Large Language M
Externí odkaz:
http://arxiv.org/abs/2412.02065
This study explores the application of Artificial Intelligence Generated Content (AIGC) technology in urban planning and design, with a particular focus on its impact on placemaking and public participation. By utilizing natural language pro-cessing
Externí odkaz:
http://arxiv.org/abs/2411.17194
Exploring Device-Oriented Video Encryption for Hierarchical Privacy Protection in AR Content Sharing
Content sharing across multiple Augmented Reality (AR) displays is becoming commonplace, enhancing team communication and collaboration through devices like smartphones and AR glasses. However, this practice raises significant privacy concerns, espec
Externí odkaz:
http://arxiv.org/abs/2411.10964
During and after a course of therapy, imaging is routinely used to monitor the disease progression and assess the treatment responses. Despite of its significance, reliably capturing and predicting the spatial-temporal anatomic changes from a sequenc
Externí odkaz:
http://arxiv.org/abs/2410.19283
Autor:
Wen, Junyan, Xu, Yue, Wang, Gang, He, Ze-Xu, Chen, Yang, Wang, Ningning, Lu, Tenglong, Ma, Xiaoli, Jin, Feng, Chen, Liucheng, Liu, Miao, Fan, Jing-Wei, Liu, Xiaobing, Pan, Xin-Yu, Liu, Gang-Qin, Cheng, Jinguang, Yu, Xiaohui
Recent reports on the signatures of high-temperature superconductivity with a critical temperature Tc close to 80 K have triggered great research interest and extensive follow-up studies. Although zero-resistance state has been successfully achieved
Externí odkaz:
http://arxiv.org/abs/2410.10275
Autor:
Ye, Junyan, Zhou, Baichuan, Huang, Zilong, Zhang, Junan, Bai, Tianyi, Kang, Hengrui, He, Jun, Lin, Honglin, Wang, Zihao, Wu, Tong, Wu, Zhizheng, Chen, Yiping, Lin, Dahua, He, Conghui, Li, Weijia
With the rapid development of AI-generated content, the future internet may be inundated with synthetic data, making the discrimination of authentic and credible multimodal data increasingly challenging. Synthetic data detection has thus garnered wid
Externí odkaz:
http://arxiv.org/abs/2410.09732
Autor:
Yang, Sheng, Wu, Yurong, Gao, Yan, Zhou, Zineng, Zhu, Bin Benjamin, Sun, Xiaodi, Lou, Jian-Guang, Ding, Zhiming, Hu, Anbang, Fang, Yuan, Li, Yunsong, Chen, Junyan, Yang, Linjun
Prompt engineering is very important to enhance the performance of large language models (LLMs). When dealing with complex issues, prompt engineers tend to distill multiple patterns from examples and inject relevant solutions to optimize the prompts,
Externí odkaz:
http://arxiv.org/abs/2410.08696