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cs.CV2024
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…
cs.CV2024
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…
cs.CV2024
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…