Papers with Code 아카이브
Monocular 3D Human Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 52
This task targets at 3D human pose estimation with a single RGB camera.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation
Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
GenHMR: Generative Human Mesh Recovery
PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model
Graph and Skipped Transformer: Exploiting Spatial and Temporal Modeling Capacities for Efficient 3D Human Pose Estimation
$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework
3D-LFM: Lifting Foundation Model
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency
MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network
Double-chain Constraints for 3D Human Pose Estimation in Images and Videos
Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration
ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
3D Human Pose and Shape Estimation via HybrIK-Transformer
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations
GFPose: Learning 3D Human Pose Prior with Gradient Fields
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model
DiffPose: Toward More Reliable 3D Pose Estimation
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
MotionBERT: A Unified Perspective on Learning Human Motion Representations
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation
Capturing and Inferring Dense Full-Body Human-Scene Contact
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.