It takes cropped RGBD data from a single RGBD camera at free viewpoint as input without requiring additional hand–object pre-segmentation and object or hand pre-modeling. Through extensive evaluations on public hand–object interaction dataset, we demonstrate the state-of-the-art performance of ...
model utilizes this 3D contact map as a strong prior for generating physically plausible hand-object motion as a function of text prompts by learning from the augmented labeled dataset; where we annotate text labels from many existing 3D hand and object motion data. Finally, we further introduce ...
OakInk-Shape:a 3D grasping pose dataset with hand and object mesh models. Summary on OakInk It contains 3D models, part segmentation, and affordance labels of 1,800 common household objects. It records human grasps with 100 (from 1,800) objects based on their affordances. ...
We propose a robust 3D hand tracking system in various hand action environments, including hand-object interaction, which utilizes a single color image and
, hand-object interaction (Obj. int.), motion sequence, synthetic, physical attributes (Phy. att.), affordance, text description, and contact label. DatasetLinkSizeShapeHand int.Obj. int.MotionSyntheticPhy. att.AffordacneTextContact GigaHands link 183M ✅ ✅ ✅ ✅ ✅ ContactDescribe ...
Given that real-world hand images often capture both the hand and forearm, our dataset bolsters the accuracy of hand pose estimation in practical scenarios. Regarding the proposed model, it uses the pose graph module (PGM) and auxiliary pose estimation module (APEM), thereby offering efficient ...
To enable HOI-Ref, we curate the HOI-QA dataset that consists of 3.9M question-answer pairs for training and evaluating VLMs. HOI-QA includes questions relating to locating hands, objects, and critically their interactions (e.g. referring to the object being manipulated by the hand). We ...
Depth-based hand pose estimation has received increasing attention in the fields of human-computer interaction and virtual reality. A comprehensive survey and analysis of depth-based hand pose estimation of recent works are conducted. First, the definition and difficulties of this problem are explained...
et al. ContactPose: a dataset of grasps with object contact and hand pose. in Computer Vision—ECCV 2020 12358, 361–378 (Springer, 2020). Lei, X., Sun, L. & Xia, Y. Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks. Struct....
Once the traininig is done, you can modify theMODEL.PICR.PRETRAINEDvalue inconfig/xxxxPipeline_{dataset}.ymlto the saved checkpoint path, and evaluate the model again. Visualization We provide a visualization tool to visualize the contact dataset, and a tool to create the contact annotation from...