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Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models

Autor: Zhang, Zijian, Lin, Luping Liu. Zhijie, Zhu, Yichen, Zhao, Zhou

We propose the first unsupervised and learning-based method to identify interpretable directions in the h-space of pre-trained diffusion models. Our method is derived from an existing technique that operates on the GAN latent space. In a nutshell, we

Externí odkaz: http://arxiv.org/abs/2310.09912

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Akademický článek

Research of the Dynamic Mechanical Property of the Crown Gear Coupling

Autor: Li Feng, Lin Luping, Qi Xiaoli, Wang Min, Pan Ziwei, Zhang Xingquan, Tong Jinyu, Feng Jianyou

Publikováno v: Jixie chuandong, Vol 40, Pp 20-23 (2016)

The full tooth dynamic finite element model of the GIICL9 crown gear coupling is established based on the ANSYS/LS-DYNA.The research results demonstrate that,the impact phenomenon need to be controlled in the start-up process,and the contact stress d

Externí odkaz: https://doaj.org/article/552fa9d7e59047d59699b44605738d53