SOTAVerified

Pose Prediction

Pose prediction is to predict future poses given a window of previous poses.

Papers

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Showing 76–100 of 163 papers

TitleStatusHype
FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video—0
Forecasting of 3D Whole-body Human Poses with Grasping Objects—0
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach—0
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling—0
Forecasting Characteristic 3D Poses of Human Actions—0
Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction—0
Long-Term Human Video Generation of Multiple Futures Using Poses—0
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation—0
Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer—0
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction—0
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar—0
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency—0
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images—0
MathDL: Mathematical deep learning for D3R Grand Challenge 4—0
Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges—0
Meta-Auxiliary Learning for Adaptive Human Pose Prediction—0
FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations—0
FONT: Flow-guided One-shot Talking Head Generation with Natural Head Motions—0
Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations—0
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking—0
Multi-Graph Convolution Network for Pose Forecasting—0
FlexVDW: A machine learning approach to account for protein flexibility in ligand docking—0
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping—0
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization—0
Fine-grained pose prediction, normalization, and recognition—0
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