computer-vision-1
Hand Joint Reconstruction
3260 papers • 126 benchmarks • 313 datasets
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Learning Joint Reconstruction of Hands and Manipulated Objects
Gül Varol, I. Laptev, Michael J. Black, C. Schmid, Dimitrios Tzionas, Yana Hasson, Igor Kalevatykh•Wed Apr 10 2019
This work presents an end-to-end learnable model that exploits a novel contact loss that favors phys- ically plausible hand-object constellations, and improves grasp quality metrics over baselines, using RGB images as input.
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