https://github.com/hzwang96/pegg-net
공식 코드PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
Papers with Code 아카이브
3D Hand Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
- 97
Image: Zimmerman et l
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/iscas3dv/handpose-virtualview
공식 코드Efficient Virtual View Selection for 3D Hand Pose Estimation
https://github.com/ivalab/kgn
공식 코드Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input
https://github.com/jkpark0825/eanet
공식 코드Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery
https://github.com/junggy/housecat6d
공식 코드https://github.com/korrawe/grasping_field
공식 코드Grasping Field: Learning Implicit Representations for Human Grasps
https://github.com/korrawe/grasping_field_demo
공식 코드Grasping Field: Learning Implicit Representations for Human Grasps
https://github.com/leolyliu/teg-track
공식 코드Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing
https://github.com/leylakhaleghi/muvihand
공식 코드https://github.com/lixiny/artiboost
공식 코드ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
https://github.com/lixiny/oakink
공식 코드OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
https://github.com/lmb-freiburg/hand3d
공식 코드https://github.com/masabdi/LSPS
공식 코드3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space
https://github.com/melonwan/denseReg
공식 코드https://github.com/microsoft/MeshTransformer
공식 코드End-to-End Human Pose and Mesh Reconstruction with Transformers
https://github.com/microsoft/meshgraphormer
공식 코드https://github.com/mks0601/Hand4Whole_RELEASE
공식 코드Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
https://github.com/mks0601/I2L-MeshNet_RELEASE
공식 코드https://github.com/mks0601/V2V-PoseNet_RELEASE
공식 코드https://github.com/moberweger/deep-prior-pp
공식 코드DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
https://github.com/mosamdabhi/3dlfm
공식 코드https://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/nickgkan/orange
공식 코드Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation
https://github.com/otaheri/GRAB
공식 코드https://github.com/pengfeiren96/dir
공식 코드https://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/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/deepsimho
공식 코드DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.