https://github.com/twehrbein/humr
공식 코드Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tynguyen/unsupervisedDeepHomographyRAL2018
공식 코드Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
https://github.com/tyshiwo/FHR_alignment
공식 코드Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
https://github.com/ubc-vision/bootstrapping-human-optical-flow-and-pose
공식 코드https://github.com/ubc-vision/human-body-pose
공식 코드https://github.com/ubc-vision/joint-regressor-refinement
공식 코드https://github.com/ubisoftinc/Ubisoft-LaForge-Animation-Dataset
공식 코드https://github.com/ucr-robotics/ced_detector
공식 코드Centroid Distance Keypoint Detector for Colored Point Clouds
https://github.com/ufukertenli/streamdeq-code
공식 코드https://github.com/uhzoaix/NerVE
공식 코드NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud
https://github.com/um-arm-lab/chsel
공식 코드CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data
https://github.com/umich-bipedlab/optimal_shape_generation
공식 코드https://github.com/umich-bipedlab/optimal_shape_global_pose_estimation
공식 코드https://github.com/una-dinosauria/3d-pose-baseline
공식 코드A simple yet effective baseline for 3d human pose estimation
https://github.com/una-dinosauria/human-motion-prediction
공식 코드https://github.com/unibas-wolves/mario
공식 코드MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL
https://github.com/unity-technologies/peoplesanspeople
공식 코드PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision
https://github.com/unsigned-long/ekalibr
공식 코드eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of Events
https://github.com/ut-vision/s2dhand
공식 코드Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
https://github.com/ut-vision/simhand
공식 코드SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
https://github.com/utiasSTARS/bingham-rotation-learning
공식 코드A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty
https://github.com/uuembodiedsocialai/FaceDiffuser
공식 코드FaceDiffuser: Speech-Driven 3D Facial Animation Synthesis Using Diffusion
https://github.com/uwaa-ndcl/pose_network_sensitivity
공식 코드https://github.com/uyoung-jeong/BoIR
공식 코드BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation
https://github.com/uyoung-jeong/PoseBH
공식 코드PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation
https://github.com/uzh-rpg/hybrid_ann_snn
공식 코드A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception
https://github.com/uzh-rpg/imips_open
공식 코드Matching Features without Descriptors: Implicitly Matched Interest Points
https://github.com/uzh-rpg/rpg_davis_simulator
공식 코드https://github.com/uzh-rpg/sips2_open
공식 코드SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning
https://github.com/vaesl/IP-Net
공식 코드Learning Human-Object Interaction Detection using Interaction Points
https://github.com/vagver/3dgazenet
공식 코드3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
https://github.com/vagver/dense3deyes
공식 코드3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
https://github.com/vaibhavsaxena11/inverse-sigma-srn
공식 코드Generalizable Pose Estimation Using Implicit Scene Representations
https://github.com/val-iisc/iSPA-Net
공식 코드https://github.com/val-iisc/pose_estimation
공식 코드Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence
https://github.com/val-iisc/sketch-parse
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.