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3D Hand Pose Estimation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Unified Transformer-Based Framework with Pretraining For Whole Body Grasping Motion Generation
Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders
Monocular 3D Hand Pose Estimation with Implicit Camera Alignment
Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views
ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation
Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
OccRobNet : Occlusion Robust Network for Accurate 3D Interacting Hand-Object Pose Estimation
Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment
GAGrasp: Geometric Algebra Diffusion for Dexterous Grasping
Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping
Task-Oriented 6-DoF Grasp Pose Detection in Clutters
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
Controllable Hand Grasp Generation for HOI and Efficient Evaluation Methods
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos
MMHMR: Generative Masked Modeling for Hand Mesh Recovery
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation
HandOS: 3D Hand Reconstruction in One Stage
RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation
WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics
Multi-Modal Diffusion for Hand-Object Grasp Generation
SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
ClickDiff: Click to Induce Semantic Contact Map for Controllable Grasp Generation with Diffusion Models
AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model
HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound pose estimation
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.