This can be attributed to the fact that humans have mastered the shape prior of the 'mug' category, and can quickly establish the corresponding relations between different mug instances and the prior, such as where the rim and handle are located.
Mesh is extracted from the signed distance function (SDF) network for the surface, and color for each surface vertex is drawn from the global color network.
To address these issues, this paper presents a novel hybrid inverse kinematics solution, HybrIK, that integrates the merits of 3D keypoint estimation and body mesh recovery in a unified framework.
Ranked #1 on 3D Human Reconstruction on AGORA
Unity GUI is also provided to generate synthetic hand data with user-defined settings, e. g., pose, camera, background, lighting, textures, and accessories.
In this paper, we present a large-scale empirical study on general language ability evaluation of PLMs (ElitePLM).
We start to collect 1, 800 common household objects and annotate their affordances to construct the first knowledge base: Oak.
In contrast, data synthesis can easily ensure those diversities separately.
3D hand pose estimation and shape recovery are challenging tasks in computer vision.
First, it learns a dictionary from a large collection of shape datasets, making any shape being able to be decomposed into a linear combination through the dictionary.
In this paper, we present an explicit contact representation namely Contact Potential Field (CPF), and a learning-fitting hybrid framework namely MIHO to Modeling the Interaction of Hand and Object.
We show that HybrIK preserves both the accuracy of 3D pose and the realistic body structure of the parametric human model, leading to a pixel-aligned 3D body mesh and a more accurate 3D pose than the pure 3D keypoint estimation methods.
Ranked #1 on 3D Human Pose Estimation on EMDB
Inside each stage, BiHand adopts a novel bisecting design which allows the networks to encapsulate two closely related information (e. g. 2D keypoints and silhouette in 2D seeding stage, 3D joints, and depth map in 3D lifting stage, joint rotations and shape parameters in the mesh generation stage) in a single forward pass.