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insikt - Human Pose Estimation
Diffusion Model for Human Pose Estimation Using mmWave Radar
mmDiff proposes a novel diffusion-based pose estimator tailored for noisy radar data, achieving state-of-the-art performance in human pose estimation using mmWave radar.
mmDiff: A Novel Diffusion-Based Pose Estimator for Noisy Radar Data
mmDiff proposes a diffusion-based pose estimator tailored for noisy radar data, achieving state-of-the-art performance in human pose estimation.
Enhancing 3D Human Pose Estimation with Transformers
Proposing a novel approach for 3D human pose estimation using transformers to capture spatial-temporal relationships effectively.
Greit-HRNet: A Lightweight High-Resolution Network for Efficient and Accurate Human Pose Estimation
This paper introduces Greit-HRNet, a novel lightweight high-resolution network designed for efficient and accurate human pose estimation, addressing limitations of previous models by maintaining weight consistency across stages and enhancing global spatial information extraction.
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