https://github.com/lkeab/gsnet
공식 코드GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Image: Zeng et al
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
Real-time Holistic Robot Pose Estimation with Unknown States
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
Interacting Hand-Object Pose Estimation via Dense Mutual Attention
ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation
GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance
Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects
Modular Quantization-Aware Training for 6D Object Pose Estimation
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space
Estimating 6D Pose From Localizing Designated Surface Keypoints
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Realistic Data Generation for 6D Pose Estimation of Surgical Instruments
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation
MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.