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Found 10 papers, 4 papers with code
GraspXL: Generating Grasping Motions for Diverse Objects at Scale
Moreover, we show that our framework can be deployed to different dexterous hands and work with reconstructed or generated objects.
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
We interact with the world with our hands and see it through our own (egocentric) perspective.
HMP: Hand Motion Priors for Pose and Shape Estimation from Video
Therefore, we develop a generative motion prior specific for hands, trained on the AMASS dataset which features diverse and high-quality hand motions.
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
Since humans interact with diverse objects every day, the holistic 3D capture of these interactions is important to understand and model human behaviour.
ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation
ArtiGrasp leverages reinforcement learning and physics simulations to train a policy that controls the global and local hand pose.
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning
We introduce TempCLR, a new time-coherent contrastive learning approach for the structured regression task of 3D hand reconstruction.
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
In part this is because there exist no datasets with ground-truth 3D annotations for the study of physically consistent and synchronised motion of hands and articulated objects.
A Skeleton-Driven Neural Occupancy Representation for Articulated Hands
We present Hand ArticuLated Occupancy (HALO), a novel representation of articulated hands that bridges the advantages of 3D keypoints and neural implicit surfaces and can be used in end-to-end trainable architectures.
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
In natural conversation and interaction, our hands often overlap or are in contact with each other.
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3D Interacting Hand Pose Estimation
on InterHand2.6M
OptiBox: Breaking the Limits of Proposals for Visual Grounding
The problem of language grounding has attracted much attention in recent years due to its pivotal role in more general image-lingual high level reasoning tasks (e. g., image captioning, VQA).
