https://github.com/magicleap/DELTAS
공식 코드DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points
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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>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points
SuperGlue: Learning Feature Matching with Graph Neural Networks
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
Super-resolution 3D Human Shape from a Single Low-Resolution Image
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks
Relative Pose Estimation through Affine Corrections of Monocular Depth Priors
KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks
VOLoc: Visual Place Recognition by Querying Compressed Lidar Map
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Multimodal Active Measurement for Human Mesh Recovery in Close Proximity
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin?
A Mathematical Analysis of Learning Loss for Active Learning in Regression
Rethinking on Multi-Stage Networks for Human Pose Estimation
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
Enhancing 3D Human Pose Estimation Amidst Severe Occlusion with Dual Transformer Fusion
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal
Interspecies Knowledge Transfer for Facial Keypoint Detection
Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras
Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.