2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang +8
Diffusion models, which employ stochastic differential equations to sample images through integrals, have emerged as a dominant class of generative models. However, the rationality…
cs.LG2022★ 1 cited
Dimensionality-Varying Diffusion Process
Han Zhang, Ruili Feng, Zhantao Yang +7
Diffusion models, which learn to reverse a signal destruction process to generate new data, typically require the signal at each step to have the same dimension. We argue that, con…
cs.CV2018★ 1 cited
Few Shot Learning with Simplex
Bowen Zhang, Xifan Zhang, Fan Cheng +1
Deep learning has made remarkable achievement in many fields. However, learning the parameters of neural networks usually demands a large amount of labeled data. The algorithms of…