A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad,Ali Rasekh,Mohammadreza Mofayezi,Yasamin Medghalchi,Sara Rajabzadeh,Taylor Mordan,Alexandre Alahi,Saeed Saadatnejad,Ali Rasekh,Mohammadreza Mofayezi,Yasamin Medghalchi,Sara Rajabzadeh,Taylor Mordan,Alexandre Alahi
Predicting 3D human poses in real-world scenarios, also known as human pose forecasting, is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and occlusions. To address these challenges, we propose a diffusion-based approach that can predict given noisy observations. We frame the prediction task as a denoising problem, where both observation and prediction are consider...
