Learning 3D Human Pose Estimation from Dozens of Datasets by Bridging Skeleton Formats (WACV'23)

  Рет қаралды 9,837

RWTHVision

RWTHVision

Күн бұрын

Пікірлер: 5
@alexanderokak5112
@alexanderokak5112 2 ай бұрын
Very good work
@user-er5bx4ev3f
@user-er5bx4ev3f 8 ай бұрын
Really impressive result! Is this model able to perform in real-time ?
@Istvan_Sarandi
@Istvan_Sarandi Ай бұрын
Yes, depending on the number of people. Up to about 3 people, the model with the smaller backbone can run in real-time. The large backbone version should be around real-time for a single person or slighlty below, depending on how beefy the GPU is.
@Noah-gw9cg
@Noah-gw9cg Жыл бұрын
Great stuff! Would something similar work for 2d keypoints?
@Istvan_Sarandi
@Istvan_Sarandi Ай бұрын
In principle yes, but the inconsistent predictions for different skeletons was a more prominent effect for the depth coordinates. The XY coords were quite good even in the baseline of learning separate output heads for each skeleton.
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