Cover Image

STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Foo, Shi Quan, Wong, Chi-Ho, Gao, Zhihan, Yeung, Dit-Yan, Wong, Ka-Hing, Wong, Wai-Kin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
by: Yan, Chiu-Wai, et al.
Published: (2024)

DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting
by: Wen, Penghui, et al.
Published: (2024)

Multi-Source Temporal Attention Network for Precipitation Nowcasting
by: Sarabia, Rafael Pablos, et al.
Published: (2024)

Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models
by: Chaorong, Li, et al.
Published: (2024)

PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows
by: Zhu, Yufeng, et al.
Published: (2026)

CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback
by: Jiang, Chenhan, et al.
Published: (2025)

Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
by: Li, ChaoRong, et al.
Published: (2024)

DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
by: Yu, Demin, et al.
Published: (2023)

TransformMix: Learning Transformation and Mixing Strategies from Data
by: Cheung, Tsz-Him, et al.
Published: (2024)

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
by: Schusterbauer, Johannes, et al.
Published: (2026)

A Space-Time Transformer for Precipitation Nowcasting
by: Harris, Levi, et al.
Published: (2025)

Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification
by: Chen, Binwei, et al.
Published: (2026)

RainDiff: End-to-end Precipitation Nowcasting Via Token-wise Attention Diffusion
by: Nguyen, Thao, et al.
Published: (2025)

Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation
by: Tai, Chi-en Amy, et al.
Published: (2024)

Skillful Nowcasting of Convective Clouds With a Cascade Diffusion Model
by: Chen, Haoming, et al.
Published: (2025)

I$^2$OL-Net: Intra-Inter Objectness Learning Network for Point-Supervised X-Ray Prohibited Item Detection
by: Wong, Sanjoeng, et al.
Published: (2024)

Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
by: Tai, Chi-en Amy, et al.
Published: (2024)

Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
by: Tai, Chi-en Amy, et al.
Published: (2024)

Cancer-Net PCa-MultiSeg: Multimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)

Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment
by: Wong, Chi Kit, et al.
Published: (2026)

AesCrop: Aesthetic-driven Cropping Guided by Composition
by: Wong, Yen-Hong, et al.
Published: (2025)

Axial-UNet: A Neural Weather Model for Precipitation Nowcasting
by: Mamtani, Sumit, et al.
Published: (2025)

Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)

SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter
by: Wong, Songbur
Published: (2024)

BCR-Net: Boundary-Category Refinement Network for Weakly Semi-Supervised X-Ray Prohibited Item Detection with Points
by: Wong, Sanjoeng
Published: (2024)

Implicit Concept Removal of Diffusion Models
by: Liu, Zhili, et al.
Published: (2023)

Data-driven Precipitation Nowcasting Using Satellite Imagery
by: Park, Young-Jae, et al.
Published: (2024)

TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models
by: Li, Pengxiang, et al.
Published: (2023)

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
by: Gong, Junchao, et al.
Published: (2024)

Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
by: Song, Changhoon, et al.
Published: (2026)

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
by: Ling, Xudong, et al.
Published: (2025)

MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation Nowcasting
by: Shi, Chunlei, et al.
Published: (2026)

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
by: Wang, Yibo, et al.
Published: (2024)

Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
by: Zeng, E. Zhixuan, et al.
Published: (2024)

SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability
by: Wang, Jiankang, et al.
Published: (2025)

Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models
by: Jiang, Han, et al.
Published: (2023)

VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models
by: Xie, Chaohao, et al.
Published: (2025)

Coffee: Controllable Diffusion Fine-tuning
by: Zeng, Ziyao, et al.
Published: (2025)

Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
by: Tai, Chi-en Amy, et al.
Published: (2024)

MarineEval: Assessing the Marine Intelligence of Vision-Language Models
by: Wong, YuK-Kwan, et al.
Published: (2025)