Search Results for author:
Found 16 papers, 13 papers with code
SemGrasp: Semantic Grasp Generation via Language Aligned Discretization
We introduce a discrete representation that aligns the grasp space with semantic space, enabling the generation of grasp postures in accordance with language instructions.
OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
Based on the 3-level abstraction of OAKINK2, we explore a task-oriented framework for Complex Task Completion (CTC).
UniMAP: Universal SMILES-Graph Representation Learning
Molecular representation learning is fundamental for many drug related applications.
CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation
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.
Color-NeuS: Reconstructing Neural Implicit Surfaces with Color
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.
HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recovery
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
POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
Enable neural networks to capture 3D geometrical-aware features is essential in multi-view based vision tasks.
DART: Articulated Hand Model with Diverse Accessories and Rich Textures
Unity GUI is also provided to generate synthetic hand data with user-defined settings, e. g., pose, camera, background, lighting, textures, and accessories.
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
In this paper, we present a large-scale empirical study on general language ability evaluation of PLMs (ElitePLM).
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
We start to collect 1, 800 common household objects and annotate their affordances to construct the first knowledge base: Oak.
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
In contrast, data synthesis can easily ensure those diversities separately.
Ranked #3 on
hand-object pose
on HO-3D
(using extra training data)
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
3D hand pose estimation and shape recovery are challenging tasks in computer vision.
Learning Universal Shape Dictionary for Realtime Instance Segmentation
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.
CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction
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.
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
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 #2 on
3D Human Pose Estimation
on EMDB
BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks
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.
