Title
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Yunfeng Ge Jiawei Li Yiji Zhao Haomin Wen Zhao Li M. Qiu Haoyang Li Ming Jin Xiaojun Jia DiffM 318 1 0 05 May 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 237 0 0 27 Mar 2025
Context information can be more important than reasoning for time series forecasting with a large language model Janghoon Yang AI4TS LRM 83 1 0 08 Feb 2025
A Survey on Diffusion Models for Anomaly Detection Qingbin Liu Zhenchao Ma Zepu Wang Yang Liu Zehua Wang Peng Sun Liang Song Bo Hu Azzedine Boukerche Victor C.M. Leung DiffM MedIm 91 5 0 20 Jan 2025
Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae Tomas Landelius Joel Oskarsson Fredrik Lindsten AI4Cl 77 4 0 07 Oct 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 98 1 0 31 Jul 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Xiaojun Jia Mahsa Salehi 102 0 0 17 Apr 2024
Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models Guido Klein Pierre Guetschel Gianluigi Silvestri Michael Tangermann DiffM 44 6 0 27 Mar 2024
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond Wei Chen Yuxuan Liang Yuanshao Zhu Yanchuan Chang Kang Luo ... Chao Chen Kai Zheng Yunjun Gao Xiaofang Zhou Yu Zheng 94 28 0 21 Mar 2024
Intention-aware Denoising Diffusion Model for Trajectory Prediction Chen Liu Shibo He Haoyu Liu Jiming Chen DiffM 83 10 0 14 Mar 2024
Time Weaver: A Conditional Time Series Generation Model Sai Shankar Narasimhan Shubhankar Agarwal Oguzhan Akcin Sujay Sanghavi Sandeep Chinchali DiffM MedIm 110 21 0 05 Mar 2024
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model Xudong Ling Chaorong Li Fengqing Qin Peng Yang Yuanyuan Huang DiffM AI4Cl 75 5 0 21 Feb 2024
Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang Wenjie Du Yiyuan Yang Linglong Qian Wei Cao Yuxuan Liang Wenjia Wang Yuxuan Liang Qingsong Wen AI4TS SyDa BDL 92 44 0 06 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation Yuan Gao Haokun Chen Xiang Wang Zhicai Wang Xue Wang Jinyang Gao Bolin Ding 67 6 0 05 Feb 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers Nanye Ma Mark Goldstein M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden Saining Xie DiffM 118 213 0 16 Jan 2024
D3A-TS: Denoising-Driven Data Augmentation in Time Series D. Martín Juan Galán Páez J. Borrego-Díaz AI4TS DiffM 57 4 0 09 Dec 2023
Brain-Driven Representation Learning Based on Diffusion Model Soowon Kim Seo-Hyun Lee Young-Eun Lee Ji-Won Lee Ji-Ha Park Seong-Whan Lee DiffM 26 1 0 14 Nov 2023
TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models Yangming Li DiffM AI4TS 77 5 0 06 Nov 2023
Time Series Anomaly Detection using Diffusion-based Models Ioana Pintilie Andrei Manolache Florin Brad DiffM 56 16 0 02 Nov 2023
Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions Jincheng Zhang Gyorgy Fazekas C. Saitis DiffM 58 5 0 21 Oct 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 51 8 0 05 Sep 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction Kelvin J.L. Koa Yunshan Ma Ritchie Ng Tat-Seng Chua DiffM 44 25 0 18 Aug 2023
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG Soowon Kim Young-Eun Lee Seo-Hyun Lee Seong-Whan Lee DiffM 61 16 0 26 Jul 2023
On the Constrained Time-Series Generation Problem Andrea Coletta Sriram Gopalakrishnan Daniel Borrajo Svitlana Vyetrenko DiffM AI4TS 72 39 0 04 Jul 2023
Restart Sampling for Improving Generative Processes Yilun Xu Mingyang Deng Xiang Cheng Yonglong Tian Ziming Liu Tommi Jaakkola DiffM VLM 73 56 0 26 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen James Kwok DiffM AI4CE 63 56 0 08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 81 56 0 07 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 188 69 0 03 Jun 2023
Iterative $α$ -(de)Blending: a Minimalist Deterministic Diffusion Model Eric Heitz Laurent Belcour T. Chambon DiffM 49 39 0 05 May 2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation Mingzhe Liu Han Huang Hao Feng Leilei Sun Bowen Du Yanjie Fu DiffM 74 53 0 20 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 180 4,168 1 10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 83 225 0 09 Feb 2023
Diffusion Models for High-Resolution Solar Forecasts Yusuke Hatanaka Yannik Glaser Geoff Galgon G. Torri Peter Sadowski DiffM 137 19 0 01 Feb 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models Haomin Wen Youfang Lin Yutong Xia Huaiyu Wan Qingsong Wen Roger Zimmermann Yuxuan Liang DiffM 71 90 0 31 Jan 2023
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit Ping Chang Huayu Li S. Quan Shuyang Lu Shu-Fen Wung Janet Roveda Ao Li DiffM 63 20 0 16 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 118 2,418 0 19 Dec 2022
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 111 80 0 19 Dec 2022
Denoising diffusion probabilistic models for probabilistic energy forecasting Esteban Hernandez Capel Jonathan Dumas DiffM 57 15 0 06 Dec 2022
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models Gimin Nam Mariem Khlifi Andrew Rodriguez Alberto Tono Linqi Zhou Paul Guerrero DiffM 58 68 0 01 Dec 2022
Why Are Conditional Generative Models Better Than Unconditional Ones? Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu DiffM 75 24 0 01 Dec 2022
Dimensionality-Varying Diffusion Process Han Zhang Ruili Feng Zhantao Yang Lianghua Huang Yu Liu Yifei Zhang Yujun Shen Deli Zhao Jingren Zhou Fan Cheng DiffM 47 10 0 29 Nov 2022
DiffusionDet: Diffusion Model for Object Detection Shoufa Chen Pei Sun Yibing Song Ping Luo 119 466 0 17 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 171 611 0 02 Nov 2022
Structure-based Drug Design with Equivariant Diffusion Models Arne Schneuing Yuanqi Du Charles Harris Arian R. Jamasb Ilia Igashov ... Pietro Lio Carla P. Gomes Max Welling Michael M. Bronstein B. Correia DiffM 126 224 0 24 Oct 2022
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong Mukai Li Jiangtao Feng Zhiyong Wu Lingpeng Kong 93 333 0 17 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 140 505 0 12 Oct 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 77 532 0 06 Oct 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 153 89 0 22 Sep 2022
Blurring Diffusion Models Emiel Hoogeboom Tim Salimans DiffM 80 81 0 12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 109 110 0 12 Sep 2022