That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Advancements in Human Pose Estimation
This chapter delves into the evolution of human pose estimation, highlighting the breakthroughs introduced by the VIBE paper. It discusses the transition from traditional methods focusing on key points to a more sophisticated approach utilizing human meshes and video sequences for improved motion accuracy. The chapter also covers the creation of the AMASS dataset and the integration of machine learning techniques, including adversarial training, to enhance pose and shape estimations.
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