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 proposes a diffusion-based pose estimator tailored for noisy radar data, achieving state-of-the-art performance in human pose estimation.
Proposing a novel approach for 3D human pose estimation using transformers to capture spatial-temporal relationships effectively.
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.