https://github.com/val-iisc/ssl_3d_recon
공식 코드From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
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/valeoai/WoodScape/tree/master/omnidet
공식 코드OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving
https://github.com/valeoai/pafuse
공식 코드PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
https://github.com/vangiel/WheresTheFellow
공식 코드Multi-camera Torso Pose Estimation using Graph Neural Networks
https://github.com/varunburde/reconstruction_pose_benchmark
공식 코드Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation
https://github.com/vastlik/symformer
공식 코드SymFormer: End-to-end symbolic regression using transformer-based architecture
https://github.com/vb000/neuricam
공식 코드NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
https://github.com/vcg-uvic/acne
공식 코드ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
https://github.com/vchoutas/expose
공식 코드Monocular Expressive Body Regression through Body-Driven Attention
https://github.com/vchoutas/smplify-x
공식 코드Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
https://github.com/vectorspacelab/omnigen
공식 코드https://github.com/vefalun/HTNet
공식 코드HTNet: Human Topology Aware Network for 3D Human Pose Estimation
https://github.com/vegesm/depthpose
공식 코드Absolute Human Pose Estimation with Depth Prediction Network
https://github.com/vegesm/pose_refinement
공식 코드Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
https://github.com/vegesm/siamese-pose-estimation
공식 코드https://github.com/vegesm/wdspose
공식 코드Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
https://github.com/vegetebird/graphmlp
공식 코드GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
https://github.com/verlab/learningtodetect_prl_2023
공식 코드Improving the matching of deformable objects by learning to detect keypoints
https://github.com/verlab/learningtodetect_sibgrapi_2022
공식 코드Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images
https://github.com/vibot-lab/pola4all_jei_2023
공식 코드Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization
https://github.com/vicoslab/cedirnet-3dof
공식 코드Center Direction Network for Grasping Point Localization on Cloths
https://github.com/videosyncai/videosync
공식 코드Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization
https://github.com/vijay4313/proxemo
공식 코드https://github.com/vineet2104/hifics
공식 코드HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language Models
https://github.com/vinits5/learning3d
공식 코드PCRNet: Point Cloud Registration Network using PointNet Encoding
https://github.com/vinits5/pcrnet
공식 코드PCRNet: Point Cloud Registration Network using PointNet Encoding
https://github.com/vinits5/pcrnet_pytorch
공식 코드PCRNet: Point Cloud Registration Network using PointNet Encoding
https://github.com/vinits5/pointnet-registration-framework
공식 코드One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment
https://github.com/visionlearninggroup/uda_poseestimation
공식 코드https://github.com/visresearch/mgc
공식 코드Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning
https://github.com/vita-epfl/MotionMap
공식 코드MotionMap: Representing Multimodality in Human Pose Forecasting
https://github.com/vita-epfl/TIC-TAC
공식 코드TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
https://github.com/vita-epfl/deposit
공식 코드A generic diffusion-based approach for 3D human pose prediction in the wild
https://github.com/vita-epfl/multi-transmotion
공식 코드Multi-Transmotion: Pre-trained Model for Human Motion Prediction
https://github.com/vita-epfl/openpifpaf
공식 코드OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/vita-epfl/openpifpaf_posetrack
공식 코드OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.