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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.
SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor Variations
MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose
From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation
AthleticsPose: Authentic Sports Motion Dataset on Athletic Field and Evaluation of Monocular 3D Pose Estimation Ability
GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model
Revisiting Reliability in the Reasoning-based Pose Estimation Benchmark
$π^3$: Scalable Permutation-Equivariant Visual Geometry Learning
SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images
Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation
SpatialTrackerV2: 3D Point Tracking Made Easy
PhysX: Physical-Grounded 3D Asset Generation
Joint angle model based learning to refine kinematic human pose estimation
GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft
KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures
FPC-Net: Revisiting SuperPoint with Descriptor-Free Keypoint Detection via Feature Pyramids and Consistency-Based Implicit Matching
Self-supervised pretraining of vision transformers for animal behavioral analysis and neural encoding
VST-Pose: A Velocity-Integrated Spatiotem-poral Attention Network for Human WiFi Pose Estimation
PoseLLM: Enhancing Language-Guided Human Pose Estimation with MLP Alignment
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning
Reading a Ruler in the Wild
Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting
DreamArt: Generating Interactable Articulated Objects from a Single Image
LMPNet for Weakly-supervised Keypoint Discovery
Reconstructing Close Human Interaction with Appearance and Proxemics Reasoning
A Unified Transformer-Based Framework with Pretraining For Whole Body Grasping Motion Generation
TVG-SLAM: Robust Gaussian Splatting SLAM with Tri-view Geometric Constraints
Deterministic Object Pose Confidence Region Estimation
DidSee: Diffusion-Based Depth Completion for Material-Agnostic Robotic Perception and Manipulation
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
Systematic Comparison of Projection Methods for Monocular 3D Human Pose Estimation on Fisheye Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.