Papers with Code 아카이브
Hand Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 10
- 보존된 평가 기록
- 61
Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-REN )</span>
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
EventEgoHands: Event-based Egocentric 3D Hand Mesh Reconstruction
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery
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
EgoHand: Ego-centric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMUs
Leveraging 2D Masked Reconstruction for Domain Adaptation of 3D Pose Estimation
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
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation
WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
Good Grasps Only: A data engine for self-supervised fine-tuning of pose estimation using grasp poses for verification
Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild
Benchmarking 2D Egocentric Hand Pose Datasets
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics
Multi-Modal Diffusion for Hand-Object Grasp Generation
Bengali Sign Language Recognition through Hand Pose Estimation using Multi-Branch Spatial-Temporal Attention Model
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.