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Found 5 papers, 3 papers with code
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
To generate images with realistic hands, we propose a novel diffusion-based architecture called HanDiffuser that achieves realism by injecting hand embeddings in the generative process.
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild
We also introduce a new challenging dataset called BodyHands containing unconstrained images with hand and their corresponding body locations annotations.
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild
The first stage is Forward Propagation, where the features from frame t-1 are propagated to frame t based on previously detected hands and their estimated motion.
Ranked #1 on
Multiple Object Tracking
on YouTube-Hands
(using extra training data)
Detecting Hands and Recognizing Physical Contact in the Wild
The first attention mechanism is based on the hand and a region's affinity, enclosing the hand and the object, and densely pools features from this region to the hand region.
Contextual Attention for Hand Detection in the Wild
We also conduct ablation studies on hand detection to show the effectiveness of the proposed contextual attention module.
