Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yu, Zhaochen"'
Autor:
Tian, Ye, Yang, Ling, Yang, Haotian, Gao, Yuan, Deng, Yufan, Chen, Jingmin, Wang, Xintao, Yu, Zhaochen, Tao, Xin, Wan, Pengfei, Zhang, Di, Cui, Bin
Diffusion models have demonstrated great success in text-to-video (T2V) generation. However, existing methods may face challenges when handling complex (long) video generation scenarios that involve multiple objects or dynamic changes in object numbe
Externí odkaz:
http://arxiv.org/abs/2406.04277
Autor:
Yang, Ling, Yu, Zhaochen, Zhang, Tianjun, Cao, Shiyi, Xu, Minkai, Zhang, Wentao, Gonzalez, Joseph E., Cui, Bin
We introduce Buffer of Thoughts (BoT), a novel and versatile thought-augmented reasoning approach for enhancing accuracy, efficiency and robustness of large language models (LLMs). Specifically, we propose meta-buffer to store a series of informative
Externí odkaz:
http://arxiv.org/abs/2406.04271
Conditional diffusion models have exhibited superior performance in high-fidelity text-guided visual generation and editing. Nevertheless, prevailing text-guided visual diffusion models primarily focus on incorporating text-visual relationships exclu
Externí odkaz:
http://arxiv.org/abs/2402.16627
Autor:
Zhang, Xinchen, Yang, Ling, Cai, Yaqi, Yu, Zhaochen, Wang, Kai-Ni, Xie, Jiake, Tian, Ye, Xu, Minkai, Tang, Yong, Yang, Yujiu, Cui, Bin
Diffusion models have achieved remarkable advancements in text-to-image generation. However, existing models still have many difficulties when faced with multiple-object compositional generation. In this paper, we propose RealCompo, a new training-fr
Externí odkaz:
http://arxiv.org/abs/2402.12908
Diffusion models have exhibit exceptional performance in text-to-image generation and editing. However, existing methods often face challenges when handling complex text prompts that involve multiple objects with multiple attributes and relationships
Externí odkaz:
http://arxiv.org/abs/2401.11708
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Yu, Zhaochen, Feng, Kaixuan, Deng, Shuyun, Chen, Yang, Yan, Hong, Song, Honggun, Luo, Chao, Hu, Zhi
Publikováno v:
Acta Metallurgica Sinica; Apr2024, Vol. 37 Issue 4, p648-664, 17p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.