GraphMDN: Leveraging graph structure and deep learning to solve inverse problems

Author:

Oikarinen Tuomas,Hannah Daniel,Kazerounian Sohrob

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploiting multi-transformer encoder with multiple-hypothesis aggregation via diffusion model for 3D human pose estimation;Multimedia Tools and Applications;2024-09-10

2. Diffusion-Based Pose Refinement and Multi-Hypothesis Generation for 3D Human Pose Estimation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Hybrid Graph Neural Networks with LSTM Attention Mechanism for Recommendation Systems in MOOCs;2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA);2024-03-01

4. DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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