ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.10512
  4. Cited By
Four-hour thunderstorm nowcasting using deep diffusion models of satellite
v1v2v3v4 (latest)

Four-hour thunderstorm nowcasting using deep diffusion models of satellite

16 April 2024
Kuai Dai
Xutao Li
Junying Fang
Yunming Ye
Demin Yu
Hui Su
Di Xian
Danyu Qin
Jingsong Wang
    AI4Cl
ArXiv (abs)PDFHTML

Papers citing "Four-hour thunderstorm nowcasting using deep diffusion models of satellite"

16 / 16 papers shown
Title
Score-based diffusion nowcasting of GOES imagery
Score-based diffusion nowcasting of GOES imagery
Randy J. Chase
Katherine Haynes
Lander Ver Hoef
Imme Ebert-Uphoff
DiffM
194
2
0
15 May 2025
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGSVGen
498
1,378
0
18 Apr 2023
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
1.3K
20,333
0
20 Dec 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman V. Ravuri
Karel Lenc
Matthew Willson
D. Kangin
Rémi R. Lam
...
R. Hadsell
Nial H. Robinson
Ellen Clancy
A. Arribas
S. Mohamed
AI4Cl
383
854
0
02 Apr 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive
  Learning
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yunbo Wang
Haixu Wu
Jianjin Zhang
Zhifeng Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
328
500
0
17 Mar 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
1.2K
9,865
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
4.0K
24,746
0
19 Jun 2020
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
409
4,716
0
16 Feb 2018
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
2.4K
157,232
0
12 Jun 2017
A Machine Learning Nowcasting Method based on Real-time Reanalysis Data
A Machine Learning Nowcasting Method based on Real-time Reanalysis Data
Lei Han
Juanzhen Sun
Wei Zhang
Yuan Xiu
H. Feng
Yinjing Lin
87
65
0
14 Sep 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
628
14,720
0
19 Nov 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
Weitong Chen
C. Pal
Aaron Courville
MDE
283
751
0
19 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation NowcastingNeural Information Processing Systems (NeurIPS), 2015
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
1.1K
8,885
0
13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
2.7K
87,680
0
18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
1.2K
8,614
0
12 Mar 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Dong Wang
Yoshua Bengio
995
13,904
0
11 Dec 2014
1