awesome-human-pose-estimation

Why we included this project

This reading list collects the papers and resources the author gathered while learning human pose estimation, organized so newcomers can find their way in. Papers are grouped by 2D and 3D pose estimation, real-time methods, and person generation, with many entries linking to code in PyTorch, TensorFlow, or Torch. The datasets and workshops sections help when you are planning experiments, and the author's own blog guides on 2D and 3D pose estimation cover the basics before you hit the primary literature. Since this is a curated index rather than a codebase, think of it as a map of the field: useful for finding the specific models and repos you actually want to run.