https://github.com/snt-arg/ecg2o
공식 코드ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph Optimization
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 31
- 보존된 평가 기록
- 235
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/soeaver/Parsing-R-CNN
공식 코드https://github.com/sohyun-l/ExLPose
공식 코드https://github.com/sony/model_optimization
공식 코드https://github.com/sonyresearch/coala
공식 코드COALA: A Practical and Vision-Centric Federated Learning Platform
https://github.com/soullessrobot/human-m3-dataset
공식 코드Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
https://github.com/soullessrobot/lidar-hmr
공식 코드https://github.com/spaceuma/marssamplelocalization
공식 코드https://github.com/spla-tam/splatam
공식 코드SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
https://github.com/sr42-dev/pedestrian-intention-fuzzy-classifier
공식 코드https://github.com/ssfootball04/generative_pose
공식 코드Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
https://github.com/stability-ai/generative-models
공식 코드Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
https://github.com/stanfordasl/data-lifecycle-management
공식 코드Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
https://github.com/stefan-ainetter/SCANnotateDataset
공식 코드Automatically Annotating Indoor Images with CAD Models via RGB-D Scans
https://github.com/stefp/whorl_pose_detector
공식 코드BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach
https://github.com/stevenlsw/Semi-Hand-Object
공식 코드Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
https://github.com/stevenlsw/contactgen
공식 코드ContactGen: Generative Contact Modeling for Grasp Generation
https://github.com/sthalham/tram3d
공식 코드Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
https://github.com/sthalles/clove
공식 코드Self-supervised Learning of Contextualized Local Visual Embeddings
https://github.com/stilcrad/denseaffine
공식 코드Learning Affine Correspondences by Integrating Geometric Constraints
https://github.com/stoicgilgamesh/matting_rendering
공식 코드https://github.com/stoicgilgamesh/reflow6d
공식 코드https://github.com/strawberryfg/NAPA-NST-HPE
공식 코드https://github.com/subin-kim-cv/NVP
공식 코드Scalable Neural Video Representations with Learnable Positional Features
https://github.com/sungheonpark/3D_HPE_RN
공식 코드https://github.com/sunnychencool/Anatomy3D
공식 코드Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition
https://github.com/sunshinglight/DAML_PoseEstimation
공식 코드https://github.com/superstar1225/DensePose_from_WiFi
공식 코드https://github.com/surbhimadan92/magic-tbr
공식 코드https://github.com/surgical-robotics-ai/realistic-6dof-data-generation
공식 코드Realistic Data Generation for 6D Pose Estimation of Surgical Instruments
https://github.com/suyz526/zebrapose
공식 코드ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation
https://github.com/swami1995/v2v
공식 코드https://github.com/switchablenorms/DeepFashion2
공식 코드https://github.com/swtyree/hope-dataset
공식 코드https://github.com/sxl142/glot
공식 코드Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
https://github.com/syguan96/BOA
공식 코드Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.