OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang, Prakhar Srivastava, Stephan Mandt
Entropy (2023) Vol. 25, Iss. 10, pp. 1469-1469
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10850-10869
Open Access | Times Cited: 642

Diffusion Models: A Comprehensive Survey of Methods and Applications
L. Yang, Zhilong Zhang, Yang Song, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-39
Open Access | Times Cited: 579

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 252

DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen, Peize Sun, Yibing Song, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19773-19786
Open Access | Times Cited: 220

How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications
Luís Coelho
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1435-1435
Open Access | Times Cited: 148

A Survey on Generative Diffusion Models
Hanqun Cao, Cheng Tan, Zhangyang Gao, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 2814-2830
Closed Access | Times Cited: 105

DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 74

Notice of Removal: VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Zhengxiong Luo, Dayou Chen, Yingya Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 10209-10218
Closed Access | Times Cited: 67

Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18456-18466
Open Access | Times Cited: 55

Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Haomiao Ni, Changhao Shi, Kai Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 47

MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion
Chiyu Max Jiang, Andre Cornman, Cheol‐Ho Park, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 43

Probabilistic weather forecasting with machine learning
Ilan Price, Álvaro Sánchez‐González, Ferran Alet, et al.
Nature (2024)
Open Access | Times Cited: 20

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
David Junhao Zhang, Jay Zhangjie Wu, Jiawei Liu, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 16

Speech driven video editing via an audio-conditioned diffusion model
Dan Bigioi, Shubhajit Basak, Michał Stypułkowski, et al.
Image and Vision Computing (2024) Vol. 142, pp. 104911-104911
Open Access | Times Cited: 15

SimDA: Simple Diffusion Adapter for Efficient Video Generation
Zhen Xing, Qi Dai, Han Hu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 1, pp. 7827-7839
Closed Access | Times Cited: 15

Time series diffusion method: A denoising diffusion probabilistic model for vibration signal generation
Haiming Yi, Lei Hou, Yuhong Jin, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111481-111481
Open Access | Times Cited: 10

Dream Video: Composing Your Dream Videos with Customized Subject and Motion
Yujie Wei, Shiwei Zhang, Zhiwu Qing, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 6537-6549
Closed Access | Times Cited: 10

Factorizing Text-to-Video Generation by Explicit Image Conditioning
Rohit Girdhar, Mannat Singh, Andrew J. Brown, et al.
Lecture notes in computer science (2024), pp. 205-224
Closed Access | Times Cited: 9

DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking
Fei Xie, Zhongdao Wang, Chao Ma
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 19113-19124
Closed Access | Times Cited: 8

Data augmentation of dynamic responses for structural health monitoring using denoising diffusion probabilistic models
Wenhao Zheng, Jun Li, Hong Hao
Engineering Structures (2025) Vol. 328, pp. 119685-119685
Open Access | Times Cited: 1

DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag, Xiatian Zhu, Jiankang Deng, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 10328-10340
Open Access | Times Cited: 20

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, et al.
Lecture notes in computer science (2023), pp. 142-152
Closed Access | Times Cited: 17

ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction
Zhicheng Zhang, Junyao Hu, Wentao Cheng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 14, pp. 19310-19320
Closed Access | Times Cited: 7

PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
Yiming Zhang, Zhening Xing, Yanhong Zeng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 7747-7756
Closed Access | Times Cited: 7

TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
Zhongwei Zhang, Fuchen Long, Yingwei Pan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 8671-8681
Closed Access | Times Cited: 7

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