This task aims to solve absolute (not root-relative) 3D human pose estimation. This also means NO GROUNDTRUTH INFORMATION is used in testing stage including human bounding box and human root joint coordinate. Models are trained on subject 1,5,6,7,8 and tested on subject 9,11 without rigid alignment.
( Image credit: RootNet )
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Large Transformer models routinely achieve state-of-the-art results on a number of tasks but training these models can be prohibitively costly, especially on long sequences.
Although significant improvement has been achieved in 3D human pose estimation, most of the previous methods only consider a single-person case.
Although significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case.