23 citations · 25 across the 7 of their papers we have counts for
4 papers · 1 filter
Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
ChaoRong Li, XuDong Ling, YiLan Xue +5
Short-term precipitation forecasting remains challenging due to the difficulty in capturing long-term spatiotemporal dependencies. Current deep learning methods fall short in estab…
Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models
Li Chaorong, Ling Xudong, Yang Qiang +2
Deep learning models have achieved remarkable progress in precipitation prediction. However, they still face significant challenges in accurately capturing spatial details of radar…
Two-stage Rainfall-Forecasting Diffusion Model
XuDong Ling, ChaoRong Li, FengQing Qin +2
Deep neural networks have made great achievements in rainfall prediction.However, the current forecasting methods have certain limitations, such as with blurry generated images and…
RNDiff: Rainfall nowcasting with Condition Diffusion Model
Xudong Ling, Chaorong Li, Fengqing Qin +2
Diffusion models are widely used in image generation because they can generate high-quality and realistic samples. This is in contrast to generative adversarial networks (GANs) and…