Papers with Code 아카이브

3D Hand Pose Estimation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

7

보존된 평가 기록

97

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/jkpark0825/eanet

공식 코드

Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery

https://github.com/junggy/housecat6d

공식 코드

HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios

https://github.com/korrawe/grasping_field

공식 코드

Grasping Field: Learning Implicit Representations for Human Grasps

https://github.com/korrawe/grasping_field_demo

공식 코드

Grasping Field: Learning Implicit Representations for Human Grasps

https://github.com/leylakhaleghi/muvihand

공식 코드

Multi-View Video-Based 3D Hand Pose Estimation

https://github.com/lixiny/artiboost

공식 코드

ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

https://github.com/lixiny/oakink

공식 코드

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction

https://github.com/lmb-freiburg/hand3d

공식 코드

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/masabdi/LSPS

공식 코드

3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space

https://github.com/melonwan/denseReg

공식 코드

Dense 3D Regression for Hand Pose Estimation

https://github.com/microsoft/MeshTransformer

공식 코드

End-to-End Human Pose and Mesh Reconstruction with Transformers

https://github.com/microsoft/meshgraphormer

공식 코드

Mesh Graphormer

https://github.com/mks0601/Hand4Whole_RELEASE

공식 코드

Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation

https://github.com/mks0601/I2L-MeshNet_RELEASE

공식 코드

I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image

https://github.com/mks0601/V2V-PoseNet_RELEASE

공식 코드

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

https://github.com/moberweger/deep-prior-pp

공식 코드

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

https://github.com/mosamdabhi/3dlfm

공식 코드

3D-LFM: Lifting Foundation Model

https://github.com/mrezaei92/TriHorn-Net

공식 코드

TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation

https://github.com/mvig-sjtu/artiboost

공식 코드

ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

https://github.com/nickgkan/orange

공식 코드

Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation

https://github.com/otaheri/GRAB

공식 코드

GRAB: A Dataset of Whole-Body Human Grasping of Objects

https://github.com/pengfeiren96/dir

공식 코드

Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image

https://github.com/postech-ami/fastmetro

공식 코드

Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers

https://github.com/r00tman/EventHands

공식 코드

EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream

https://github.com/razvancaramalau/al_bhpe

공식 코드

Active Learning for Bayesian 3D Hand Pose Estimation

https://github.com/redorangeyellowy/AttentionHand

공식 코드

AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

https://github.com/rolpotamias/WiLoR

공식 코드

WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild

https://github.com/rongakowang/densemutualattention

공식 코드

Interacting Hand-Object Pose Estimation via Dense Mutual Attention

https://github.com/rwightman/pytorch-image-models

공식 코드

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

https://github.com/scenediffuser/Scene-Diffuser

공식 코드

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

https://github.com/shichengchen/multiviewdataset

공식 코드

Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation

https://github.com/shreyashampali/kypt_transformer

공식 코드

Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation

https://github.com/stevenlsw/Semi-Hand-Object

공식 코드

Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time

https://github.com/stevenlsw/contactgen

공식 코드

ContactGen: Generative Contact Modeling for Grasp Generation

https://github.com/ut-vision/s2dhand

공식 코드

Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation

https://github.com/ut-vision/simhand

공식 코드

SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.