9 datasets found

The RGB2Hands dataset contains RGB videos of interacting two hands without shape annotations.

The ObMan dataset is a large synthetic dataset produced by rendering hand meshes with selected objects from ShapeNet.

GRAB dataset is a dataset of whole-body human grasping of objects.

HO3D dataset is a real-world dataset capturing 10 different subjects performing various fine-grained manipulations on one of the 10 objects from the YCB models.

ContactDescribe dataset is an enhanced dataset based on the ContactPose, which combines hand-object contact information with hand pose, object pose, and RGB-D images.

We aggregate 7 diverse real-world interaction datasets resulting in long-tailed collection of interactions across 157 object categories, and train a shared model across these.

We propose G-HOP, a denoising diffusion based generative prior for hand-object interactions that allows modeling both the 3D object and a human hand, conditioned on the object...

The InterHand2.6M dataset contains 366K training samples, 110K validation samples, and 261K test samples. It is the only interacting two-hand dataset with dense shape annotations.

The DexYCB dataset is a large-scale dataset of hand-grasping postures captured using a synchronized setup of 8 cameras.