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pro vyhledávání: '"LIU Buhua"'
Large diffusion models have become mainstream generative models in both academic studies and industrial AIGC applications. Recently, a number of works further explored how to employ the power of large diffusion models as zero-shot classifiers. While
Externí odkaz:
http://arxiv.org/abs/2412.12594
Autor:
Liu, Buhua, Shao, Shitong, Li, Bao, Bai, Lichen, Xu, Zhiqiang, Xiong, Haoyi, Kwok, James, Helal, Sumi, Xie, Zeke
Diffusion models have emerged as the leading paradigm in generative modeling, excelling in various applications. Despite their success, these models often misalign with human intentions, generating outputs that may not match text prompts or possess d
Externí odkaz:
http://arxiv.org/abs/2409.07253
Knowledge distillation (KD) has become a widely used technique in the field of model compression, which aims to transfer knowledge from a large teacher model to a lightweight student model for efficient network development. In addition to the supervi
Externí odkaz:
http://arxiv.org/abs/2404.03693
Autor:
Yang, Xindi, Xie, Zeke, Zhou, Xiong, Liu, Boyu, Liu, Buhua, Liu, Yi, Wang, Haoran, Cai, Yunfeng, Sun, Mingming
Neural field methods have seen great progress in various long-standing tasks in computer vision and computer graphics, including novel view synthesis and geometry reconstruction. As existing neural field methods try to predict some coordinate-based c
Externí odkaz:
http://arxiv.org/abs/2403.01058
Autor:
Zhao, Yuzhi, Po, Lai-Man, Wang, Xuehui, Yan, Qiong, Shen, Wei, Zhang, Yujia, Liu, Wei, Wong, Chun-Kit, Pang, Chiu-Sing, Ou, Weifeng, Yu, Wing-Yin, Liu, Buhua
The appearances of children are inherited from their parents, which makes it feasible to predict them. Predicting realistic children's faces may help settle many social problems, such as age-invariant face recognition, kinship verification, and missi
Externí odkaz:
http://arxiv.org/abs/2204.09962
Akademický článek
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Publikováno v:
Systems Engineering & Electronics; Sep2021, Vol. 43 Issue 9, p2535-2543, 9p
