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Pose Prediction

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하위 태스크: 0
평가표: 3
보존된 평가 기록: 6

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/CAMERA-Bath/RGBD-Dog

공식 코드

RGBD-Dog: Predicting Canine Pose from RGBD Sensors

https://github.com/Droliven/MSRGCN

공식 코드

MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

https://github.com/GUO-W/MultiMotion

공식 코드

Multi-Person Extreme Motion Prediction

https://github.com/Gorilla-Lab-SCUT/DualPoseNet

공식 코드

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency

https://github.com/HBioquant/DiffBindFR

공식 코드

DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking

https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation

공식 코드

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

https://github.com/IRVLab/unrolling

공식 코드

IMU-Assisted Learning of Single-View Rolling Shutter Correction

https://github.com/MichiganCOG/Surgical_Hands_RELEASE

공식 코드

Temporally Guided Articulated Hand Pose Tracking in Surgical Videos

https://github.com/NYXFLOWER/TIP

공식 코드

Tri-graph Information Propagation for Polypharmacy Side Effect Prediction

https://github.com/NikolaZubic/2dimageto3dmodel

공식 코드

An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering

https://github.com/Zhongdao/UniTrack

공식 코드

Do Different Tracking Tasks Require Different Appearance Models?

https://github.com/akashsengupta1997/STRAPS-3DHumanShapePose

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Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild

https://github.com/amyxlase/relpose-plus-plus

공식 코드

RelPose++: Recovering 6D Poses from Sparse-view Observations

https://github.com/anitarau/simcol

공식 코드

Bimodal Camera Pose Prediction for Endoscopy

https://github.com/aqlaboratory/quickbind

공식 코드

QuickBind: A Light-Weight And Interpretable Molecular Docking Model

https://github.com/baniks/PoseGraphNet

공식 코드

3D Human Pose Regression using Graph Convolutional Network

https://github.com/bosmallear/sharp2022

공식 코드

3D Textured Shape Recovery with Learned Geometric Priors

https://github.com/changlongjianggit/a2j-transformer

공식 코드

A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image

https://github.com/cvlab-epfl/segmentation-driven-pose

공식 코드

Segmentation-driven 6D Object Pose Estimation

https://github.com/dmklee/image2sphere

공식 코드

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

https://github.com/dominickrei/poseawarevt

공식 코드

Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers

https://github.com/dptech-corp/Uni-Mol

공식 코드

Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction

https://github.com/drorlab/glow_ives

공식 코드

Enhancing Ligand Pose Sampling for Molecular Docking

https://github.com/equinoxxxxx/spn

공식 코드

Sparse Prototype Network for Explainable Pedestrian Behavior Prediction

https://github.com/exscientia/plif_validity

공식 코드

Assessing interaction recovery of predicted protein-ligand poses

https://github.com/facebookresearch/AnimalAvatar

공식 코드

Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos

https://github.com/facebookresearch/projectaria_tools

공식 코드

Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception

https://github.com/fairydance/deeprli

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DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction

https://github.com/florianlanger/sparc

공식 코드

SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image

https://github.com/gnina/gnina

공식 코드

Protein-Ligand Scoring with Convolutional Neural Networks

https://github.com/huaxiuyao/mlti

공식 코드

Meta-Learning with Fewer Tasks through Task Interpolation

https://github.com/ivalab/kgn

공식 코드

KGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input

https://github.com/jaisharmz/geocentric-pose

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A Deep Learning Ensemble Framework for Off-Nadir Geocentric Pose Prediction

https://github.com/jayrmh/QAERTS

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Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

https://github.com/jihoonerd/Conditional-Motion-In-Betweening

공식 코드

Conditional Motion In-betweening

https://github.com/jike5/LATITUDE

공식 코드

LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.