Zobrazeno 1 - 10
of 16 780
pro vyhledávání: '"ZHIYANG AN"'
Autor:
Li, Haohang, Cao, Yupeng, Yu, Yangyang, Javaji, Shashidhar Reddy, Deng, Zhiyang, He, Yueru, Jiang, Yuechen, Zhu, Zining, Subbalakshmi, Koduvayur, Xiong, Guojun, Huang, Jimin, Qian, Lingfei, Peng, Xueqing, Xie, Qianqian, Suchow, Jordan W.
Recent advancements have underscored the potential of large language model (LLM)-based agents in financial decision-making. Despite this progress, the field currently encounters two main challenges: (1) the lack of a comprehensive LLM agent framework
Externí odkaz:
http://arxiv.org/abs/2412.18174
Electromagnetic ion cyclotron (EMIC) waves are discrete electromagnetic emissions separated by multiple ion gyrofrequencies. Harmonic EMIC waves are defined as waves with a strong electric or magnetic field (or both) at the harmonics of the fundament
Externí odkaz:
http://arxiv.org/abs/2412.16124
Autor:
Lu, Shunlin, Wang, Jingbo, Lu, Zeyu, Chen, Ling-Hao, Dai, Wenxun, Dong, Junting, Dou, Zhiyang, Dai, Bo, Zhang, Ruimao
The scaling law has been validated in various domains, such as natural language processing (NLP) and massive computer vision tasks; however, its application to motion generation remains largely unexplored. In this paper, we introduce a scalable motio
Externí odkaz:
http://arxiv.org/abs/2412.14559
Autor:
Rodriguez, Pedro Sales, Robinson, John M., Jepsen, Paul Niklas, He, Zhiyang, Duckering, Casey, Zhao, Chen, Wu, Kai-Hsin, Campo, Joseph, Bagnall, Kevin, Kwon, Minho, Karolyshyn, Thomas, Weinberg, Phillip, Cain, Madelyn, Evered, Simon J., Geim, Alexandra A., Kalinowski, Marcin, Li, Sophie H., Manovitz, Tom, Amato-Grill, Jesse, Basham, James I., Bernstein, Liane, Braverman, Boris, Bylinskii, Alexei, Choukri, Adam, DeAngelo, Robert, Fang, Fang, Fieweger, Connor, Frederick, Paige, Haines, David, Hamdan, Majd, Hammett, Julian, Hsu, Ning, Hu, Ming-Guang, Huber, Florian, Jia, Ningyuan, Kedar, Dhruv, Kornjača, Milan, Liu, Fangli, Long, John, Lopatin, Jonathan, Lopes, Pedro L. S., Luo, Xiu-Zhe, Macrì, Tommaso, Marković, Ognjen, Martínez-Martínez, Luis A., Meng, Xianmei, Ostermann, Stefan, Ostroumov, Evgeny, Paquette, David, Qiang, Zexuan, Shofman, Vadim, Singh, Anshuman, Singh, Manuj, Sinha, Nandan, Thoreen, Henry, Wan, Noel, Wang, Yiping, Waxman-Lenz, Daniel, Wong, Tak, Wurtz, Jonathan, Zhdanov, Andrii, Zheng, Laurent, Greiner, Markus, Keesling, Alexander, Gemelke, Nathan, Vuletić, Vladan, Kitagawa, Takuya, Wang, Sheng-Tao, Bluvstein, Dolev, Lukin, Mikhail D., Lukin, Alexander, Zhou, Hengyun, Cantú, Sergio H.
Realizing universal fault-tolerant quantum computation is a key goal in quantum information science. By encoding quantum information into logical qubits utilizing quantum error correcting codes, physical errors can be detected and corrected, enabling
Externí odkaz:
http://arxiv.org/abs/2412.15165
Autor:
Dou, Zhiyang, Wang, Zipeng, Han, Xumeng, Qiang, Chenhui, Wang, Kuiran, Li, Guorong, Huang, Zhibei, Han, Zhenjun
Global geolocation, which seeks to predict the geographical location of images captured anywhere in the world, is one of the most challenging tasks in the field of computer vision. In this paper, we introduce an innovative interactive global geolocat
Externí odkaz:
http://arxiv.org/abs/2412.08907
Proper guidance strategies are essential to get optimal generation results without re-training diffusion and flow-based text-to-image models. However, existing guidances either require specific training or strong inductive biases of neural network ar
Externí odkaz:
http://arxiv.org/abs/2412.05827
Autor:
Lu, Jiahao, Huang, Tianyu, Li, Peng, Dou, Zhiyang, Lin, Cheng, Cui, Zhiming, Dong, Zhen, Yeung, Sai-Kit, Wang, Wenping, Liu, Yuan
Recent developments in monocular depth estimation methods enable high-quality depth estimation of single-view images but fail to estimate consistent video depth across different frames. Recent works address this problem by applying a video diffusion
Externí odkaz:
http://arxiv.org/abs/2412.03079
Diffusion and flow models have achieved remarkable successes in various applications such as text-to-image generation. However, these models typically rely on the same predetermined denoising schedules during inference for each prompt, which potentia
Externí odkaz:
http://arxiv.org/abs/2412.01243
Autor:
Wang, Wenjia, Pan, Liang, Dou, Zhiyang, Liao, Zhouyingcheng, Lou, Yuke, Yang, Lei, Wang, Jingbo, Komura, Taku
Simulating long-term human-scene interaction is a challenging yet fascinating task. Previous works have not effectively addressed the generation of long-term human scene interactions with detailed narratives for physics-based animation. This paper in
Externí odkaz:
http://arxiv.org/abs/2411.19921
3D characters are essential to modern creative industries, but making them animatable often demands extensive manual work in tasks like rigging and skinning. Existing automatic rigging tools face several limitations, including the necessity for manua
Externí odkaz:
http://arxiv.org/abs/2411.18197