2 citations · 3 across the 9 of their papers we have counts for
4 papers · 1 filter
Climate Prompting: Generating the Madden-Julian Oscillation using Video Diffusion and Low-Dimensional Conditioning
Sulian Thual, Feiyang Cai, Jingjing Wang +1
Generative Deep Learning is a powerful tool for modeling of the Madden-Julian oscillation (MJO) in the tropics, yet its relationship to traditional theoretical frameworks remains p…
Integration Flow Models
Jingjing Wang, Dan Zhang, Joshua Luo +2
Ordinary differential equation (ODE) based generative models have emerged as a powerful approach for producing high-quality samples in many applications. However, the ODE-based met…
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models
Jingjing Wang, Dan Zhang, Feng Luo
Previous work has demonstrated that, in the Variance Preserving (VP) scenario, the nascent Directly Denoising Diffusion Models (DDDM) can generate high-quality images in one step w…
Directly Denoising Diffusion Models
Dan Zhang, Jingjing Wang, Feng Luo
In this paper, we present the Directly Denoising Diffusion Model (DDDM): a simple and generic approach for generating realistic images with few-step sampling, while multistep sampl…