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Pose Prediction
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Pose prediction is to predict future poses given a window of previous poses.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery
Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
Improved Cryo-EM Pose Estimation and 3D Classification through Latent-Space Disentanglement
Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction
SimCol3D -- 3D Reconstruction during Colonoscopy Challenge
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
RelPose++: Recovering 6D Poses from Sparse-view Observations
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
Multi-Graph Convolution Network for Pose Forecasting
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
FONT: Flow-guided One-shot Talking Head Generation with Natural Head Motions
CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions
FlexVDW: A machine learning approach to account for protein flexibility in ligand docking
KGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input
Infinite Physical Monkey: Do Deep Learning Methods Really Perform Better in Conformation Generation?
Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
Self-supervised learning of object pose estimation using keypoint prediction
Body Segmentation Using Multi-task Learning
FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
One-Shot Neural Fields for 3D Object Understanding
Structure-based drug design with geometric deep learning
A generic diffusion-based approach for 3D human pose prediction in the wild
SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image
LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF
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