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Pose Estimation
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Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Constructing a 3D Town from a Single Image
Blind Restoration of High-Resolution Ultrasound Video
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image
UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction
Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform
The Way Up: A Dataset for Hold Usage Detection in Sport Climbing
KinTwin: Imitation Learning with Torque and Muscle Driven Biomechanical Models Enables Precise Replication of Able-Bodied and Impaired Movement from Markerless Motion Capture
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving
ElderFallGuard: Real-Time IoT and Computer Vision-Based Fall Detection System for Elderly Safety
Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation
Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects
PoseBench3D: A Cross-Dataset Analysis Framework for 3D Human Pose Estimation
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision
Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views
3D-Fixup: Advancing Photo Editing with 3D Priors
APR-Transformer: Initial Pose Estimation for Localization in Complex Environments through Absolute Pose Regression
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
GRNN:Recurrent Neural Network based on Ghost Features for Video Super-Resolution
Super-Resolution Generative Adversarial Networks based Video Enhancement
When Dance Video Archives Challenge Computer Vision
Enabling Privacy-Aware AI-Based Ergonomic Analysis
RDD: Robust Feature Detector and Descriptor using Deformable Transformer
Sleep Position Classification using Transfer Learning for Bed-based Pressure Sensors
CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments
DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models
Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach
My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing
An Efficient Method for Accurate Pose Estimation and Error Correction of Cuboidal Objects
SOAP: Style-Omniscient Animatable Portraits
Progressive Inertial Poser: Progressive Real-Time Kinematic Chain Estimation for 3D Full-Body Pose from Three IMU Sensors
SVAD: From Single Image to 3D Avatar via Synthetic Data Generation with Video Diffusion and Data Augmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.