https://github.com/LongguangWang/SOF-VSR
공식 코드Deep Video Super-Resolution using HR Optical Flow Estimation
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/LongguangWang/SOF-VSR-Super-Resolving-Optical-Flow-for-Video-Super-Resolution-
공식 코드Learning for Video Super-Resolution through HR Optical Flow Estimation
https://github.com/LyuJ1998/HandTailor
공식 코드HandTailor: Towards High-Precision Monocular 3D Hand Recovery
https://github.com/MCG-NJU/SADRNet
공식 코드https://github.com/MECLabTUDA/AutoSNAP
공식 코드AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
https://github.com/MIT-SPARK/CertifiablyRobustPerception
공식 코드One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
https://github.com/MIT-SPARK/pose-baselines
공식 코드Certifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training
https://github.com/MONET2018/MONET
공식 코드MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence
https://github.com/MVIG-SJTU/AlphaPose
공식 코드AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/MacavityT/REF-VLM
공식 코드REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding
https://github.com/MandyMo/HAMR
공식 코드https://github.com/MandyMo/HIU-DMTL
공식 코드https://github.com/MarekKowalski/DeepAlignmentNetwork
공식 코드Deep Alignment Network: A convolutional neural network for robust face alignment
https://github.com/MarekKowalski/HoloFace
공식 코드HoloFace: Augmenting Human-to-Human Interactions on HoloLens
https://github.com/MaverickPeter/DiSCO-pytorch
공식 코드https://github.com/MehwishG/T3D-CNN
공식 코드Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation Framework
https://github.com/Meowuu7/equi-articulated-pose
공식 코드Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
https://github.com/MichiganCOG/Simulation_Physical_Plausibility
공식 코드Measuring Physical Plausibility of 3D Human Poses Using Physics Simulation
https://github.com/MichiganCOG/Surgical_Hands_RELEASE
공식 코드Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
https://github.com/Microsoft/human-pose-estimation.pytorch
공식 코드Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/MingjieWe/PGFormer
공식 코드Learning Pyramid-structured Long-range Dependencies for 3D Human Pose Estimation
https://github.com/MingzhenShao/HeadPose
공식 코드Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
https://github.com/MiraPurkrabek/BBoxMaskPose
공식 코드Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
https://github.com/MiraPurkrabek/ProbPose_code
공식 코드ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
https://github.com/MiraPurkrabek/RePoGen
공식 코드Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data
https://github.com/MohameHassan/PROX
공식 코드Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
https://github.com/MohamedAfham/CD_HPE
공식 코드https://github.com/MoyGcc/hpcwild
공식 코드https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
공식 코드Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
https://github.com/NIEQiang001/unsupervised-human-pose
공식 코드Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement
https://github.com/NOrangeeroli/SecondPose
공식 코드SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
https://github.com/NVlabs/BundleSDF
공식 코드BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
https://github.com/NVlabs/CF-3DGS
공식 코드https://github.com/NVlabs/CenterPose
공식 코드Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image
https://github.com/NVlabs/Dance2Music
공식 코드https://github.com/NVlabs/FoundationStereo
공식 코드FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.