Abstract: Estimating 3D human pose from 2D images in real world contexts remains a challenge, characterized by unique data constraints. Large general datasets of motion-captured 3D adult human poses ...
Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...
Abstract: Transformer-based methods have recently achieved significant success in 3D human pose estimation, owing to their strong ability to model long-range dependencies. However, relying solely on ...
FMPose3D creates a 3D pose from a single 2D image. It leverages fast Flow Matching, generating multiple plausible 3D poses via an ODE in just a few steps, then aggregates them using a ...
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