Pose Prediction
57 papers with code • 3 benchmarks • 8 datasets
Pose prediction is to predict future poses given a window of previous poses.
Benchmarks
These leaderboards are used to track progress in Pose Prediction
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Datasets
NTU RGB+D
G3D
Expi
SportsPose
Drunkard's Dataset
InfiniteRep
Latest papers
Enhancing Ligand Pose Sampling for Molecular Docking
To train scoring functions-and to perform molecular docking-one must generate a set of candidate ligand binding poses.
DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking
Furthermore, in the Apo and AlphaFold2 modeled structures, DiffBindFR demonstrates superior advantages in accurate ligand binding pose and protein binding conformation prediction, making it suitable for Apo and AlphaFold2 structure-based drug design.
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
Different pre-screening methods have been developed for rapid screening, but there is still a lack of structure-based methods applicable to various proteins that perform protein-ligand binding conformation prediction and scoring in an extremely short time.
Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
Together with new accumulated training data that provides full head pose rotation data and a geodesic loss approach for stable learning, we design an advanced model that is able to predict an extended range of head orientations.
SimCol3D -- 3D Reconstruction during Colonoscopy Challenge
anitarau/simcol
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We show that depth prediction in virtual colonoscopy is robustly solvable, while pose estimation remains an open research question.
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
nickgkan/3d_diffuser_actor
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3D perceptual representations are well suited for robot manipulation as they easily encode occlusions and simplify spatial reasoning.
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
Both PAAT and PAAB surpass their respective backbone Transformers by up to 9. 8% in real-world action recognition and 21. 8% in multi-view robotic video alignment.
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
We introduce the Aria Digital Twin (ADT) - an egocentric dataset captured using Aria glasses with extensive object, environment, and human level ground truth.
RelPose++: Recovering 6D Poses from Sparse-view Observations
amyxlase/relpose-plus-plus
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We address the task of estimating 6D camera poses from sparse-view image sets (2-8 images).
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
changlongjianggit/a2j-transformer
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CVPR 2023
3D interacting hand pose estimation from a single RGB image is a challenging task, due to serious self-occlusion and inter-occlusion towards hands, confusing similar appearance patterns between 2 hands, ill-posed joint position mapping from 2D to 3D, etc.. To address these, we propose to extend A2J-the state-of-the-art depth-based 3D single hand pose estimation method-to RGB domain under interacting hand condition.
