Papers with Code 아카이브
Hand Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-REN )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mks0601/V2V-PoseNet_RELEASE
공식 코드https://github.com/moberweger/deep-prior
공식 코드https://github.com/moberweger/deep-prior-pp
공식 코드DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
https://github.com/moberweger/semi-auto-anno
공식 코드Efficiently Creating 3D Training Data for Fine Hand Pose Estimation
https://github.com/moranli-aca/LearnableGroups-Hand
공식 코드https://github.com/mosamdabhi/3dlfm
공식 코드https://github.com/mpuu00001/robustness-evaluation-in-hand-pose-estimation
공식 코드Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing
https://github.com/mrezaei92/TriHorn-Net
공식 코드TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation
https://github.com/mvig-sjtu/artiboost
공식 코드ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
https://github.com/nerminsamet/HPRNet
공식 코드HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
https://github.com/nickgkan/orange
공식 코드Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation
https://github.com/nsantavas/Attention-A-Lightweight-2D-Hand-Pose-Estimation-Approach
공식 코드https://github.com/otaheri/GRAB
공식 코드https://github.com/pengfeiren96/dir
공식 코드https://github.com/pooyafayyaz/fingerspelling-posenet
공식 코드Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
https://github.com/postech-ami/fastmetro
공식 코드Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers
https://github.com/r00tman/EventHands
공식 코드EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
https://github.com/rafaeelaudibert/FINNger
공식 코드FINNger -- Applying artificial intelligence to ease math learning for children
https://github.com/razvancaramalau/Sequential-GCN-for-Active-Learning
공식 코드https://github.com/razvancaramalau/al_bhpe
공식 코드https://github.com/redorangeyellowy/AttentionHand
공식 코드AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild
https://github.com/rolpotamias/WiLoR
공식 코드WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
https://github.com/rongakowang/densemutualattention
공식 코드Interacting Hand-Object Pose Estimation via Dense Mutual Attention
https://github.com/rwightman/pytorch-image-models
공식 코드FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
https://github.com/scenediffuser/Scene-Diffuser
공식 코드Diffusion-based Generation, Optimization, and Planning in 3D Scenes
https://github.com/shichengchen/multiviewdataset
공식 코드Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation
https://github.com/shreyashampali/kypt_transformer
공식 코드https://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/tenstep/DeepModel
공식 코드https://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/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/vchoutas/expose
공식 코드Monocular Expressive Body Regression through Body-Driven Attention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.