Papers 3D Hand Pose Estimation
“3D Hand Pose Estimation” 태그가 달린 논문 193편 · 필터 해제
HandMvNet: Real-Time 3D Hand Pose Estimation Using Multi-View Cross-Attention Fusion
In this work, we present HandMvNet, one of the first real-time method designed to estimate 3D hand motion and shape from multi-view camera images. Unlike previous monocular approaches, which suffer from scale-depth ambig…
3D Hand Pose EstimationREACH: Hand Pose Estimation from Room Corners
We introduce a novel 3D hand pose estimator that can accurately recover the shape and pose of people's hands in a room from afar, typically from fixed cameras at room corners, in extremely low-resolution and frequently o…
3D Hand Pose EstimationRethinking Graph Convolution for 2D-to-3D Hand Pose Lifting
Graph convolutional networks (GCNs) are widely used for 3D hand pose estimation, where the hand skeleton is encoded as a fixed adjacency graph. We revisit whether this is the most effective way to incorporate hand topolo…
3D Hand Pose EstimationEgoEV-HandPose: Egocentric 3D Hand Pose Estimation and Gesture Recognition with Stereo Event Cameras
Egocentric 3D hand pose estimation and gesture recognition are essential for immersive augmented/virtual reality, human-computer interaction, and robotics. However, conventional frame-based cameras suffer from motion blu…
3D Hand Pose EstimationGesture RecognitionAnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
We present AnyHand, a large-scale synthetic dataset designed to advance the state of the art in 3D hand pose estimation. While recent works with foundation approaches have shown that scaling training data markedly improv…
3D Hand Pose EstimationGesture-Aware Pretraining and Token Fusion for 3D Hand Pose Estimation
Estimating 3D hand pose from monocular RGB images is fundamental for applications in AR/VR, human-computer interaction, and sign language understanding. In this work we focus on a scenario where a discrete set of gesture…
3D Hand Pose Estimation3D Pose EstimationHandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation
3D hand pose estimation that involves accurate estimation of 3D human hand keypoint locations is crucial for many human-computer interaction applications such as augmented reality. However, this task poses significant ch…
3D Hand Pose EstimationA Multi-View Pipeline and Benchmark Dataset for 3D Hand Pose Estimation in Surgery
Purpose: Accurate 3D hand pose estimation supports surgical applications such as skill assessment, robot-assisted interventions, and geometry-aware workflow analysis. However, surgical environments pose severe challenges…
3D Hand Pose EstimationTowards Egocentric 3D Hand Pose Estimation in Unseen Domains
We present V-HPOT, a novel approach for improving the cross-domain performance of 3D hand pose estimation from egocentric images across diverse, unseen domains. State-of-the-art methods demonstrate strong performance whe…
3D Hand Pose EstimationDF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions
Modeling daily hand interactions often struggles with severe occlusions, such as when two hands overlap, which highlights the need for robust feature learning in 3D hand pose estimation (HPE). To handle such occluded han…
3D Hand Pose EstimationSPLite Hand: Sparsity-Aware Lightweight 3D Hand Pose Estimation
With the increasing ubiquity of AR/VR devices, the deployment of deep learning models on edge devices has become a critical challenge. These devices require real-time inference, low power consumption, and minimal latency…
Computational Efficiency3D Hand Pose EstimationLeveraging RGB Images for Pre-Training of Event-Based Hand Pose Estimation
This paper presents RPEP, the first pre-training method for event-based 3D hand pose estimation using labeled RGB images and unpaired, unlabeled event data. Event data offer significant benefits such as high temporal res…
3D Hand Pose EstimationLearning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation
3D hand pose estimation is a fundamental task in understanding human hands. However, accurately estimating 3D hand poses remains challenging due to the complex movement of hands, self-similarity, and frequent occlusions.…
Computational Efficiency3D Hand Pose EstimationEnhancing Monocular 3D Hand Reconstruction with Learned Texture Priors
We revisit the role of texture in monocular 3D hand reconstruction, not as an afterthought for photorealism, but as a dense, spatially grounded cue that can actively support pose and shape estimation. Our observation is …
3D Hand Pose EstimationEHPE: A Segmented Architecture for Enhanced Hand Pose Estimation
3D hand pose estimation has garnered great attention in recent years due to its critical applications in human-computer interaction, virtual reality, and related fields. The accurate estimation of hand joints is essentia…
3D Hand Pose EstimationExtPose: Robust and Coherent Pose Estimation by Extending ViTs
Vision Transformers (ViT) are remarkable at 3D pose estimation, yet they still encounter certain challenges. One issue is that the popular ViT architecture for pose estimation is limited to images and lacks temporal info…
3D Hand Pose Estimation3D Human Pose Estimation3D Pose EstimationHand Pose Estimation+1Monocular 3D Hand Pose Estimation with Implicit Camera Alignment
Estimating the 3D hand articulation from a single color image is a continuously investigated problem with applications in Augmented Reality (AR), Virtual Reality (VR), Human-Computer Interaction (HCI), and robotics. Apar…
3D Hand Pose EstimationHand Pose EstimationKeypoint EstimationPose EstimationOccRobNet : Occlusion Robust Network for Accurate 3D Interacting Hand-Object Pose Estimation
Occlusion is one of the challenging issues when estimating 3D hand pose. This problem becomes more prominent when hand interacts with an object or two hands are involved. In the past works, much attention has not been gi…
3D Hand Pose Estimationhand-object poseHand Pose EstimationPose EstimationAnalyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
Recent synthetic 3D human datasets for the face, body, and hands have pushed the limits on photorealism. Face recognition and body pose estimation have achieved state-of-the-art performance using synthetic training data …
3D Hand Pose EstimationFace RecognitionHand Pose EstimationPose EstimationSiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
We present a framework for pre-training of 3D hand pose estimation from in-the-wild hand images sharing with similar hand characteristics, dubbed SimHand. Pre-training with large-scale images achieves promising results i…
3D Hand Pose EstimationContrastive LearningData AugmentationHand Pose Estimation+1