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Pose Estimation

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하위 태스크: 17
평가표: 31
보존된 평가 기록: 235

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

A common benchmark for this task is MPII Human Pose

<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>

코드

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

https://github.com/neurai-lab/mono-pose-attack

공식 코드

Adversarial Attacks on Monocular Pose Estimation

https://github.com/nhuang37/approx_equivariant_graph_nets

공식 코드

Approximately Equivariant Graph Networks

https://github.com/nianticlabs/scoring-without-correspondences

공식 코드

Two-View Geometry Scoring Without Correspondences

https://github.com/nichenxingmeng/STDAN

공식 코드

Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution

https://github.com/nickgkan/orange

공식 코드

Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation

https://github.com/nicolasugrinovic/size_depth_disambiguation

공식 코드

Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images

https://github.com/nies14/rs-net

공식 코드

Regular Splitting Graph Network for 3D Human Pose Estimation

https://github.com/nies14/spatio-temporal-mlp-graph

공식 코드

Spatio-temporal MLP-graph network for 3D human pose estimation

https://github.com/nihaomiao/youtube-infant-body-parsing

공식 코드

Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment

https://github.com/nikosvasilik/tape

공식 코드

TAPE: Temporal Attention-based Probabilistic human pose and shape Estimation

https://github.com/nilakshdas/skelevision

공식 코드

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning

https://github.com/nkolot/ProHMR

공식 코드

Probabilistic Modeling for Human Mesh Recovery

https://github.com/noboevbo/pedrec

공식 코드

PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation

https://github.com/nonmy/fdct

공식 코드

FDCT: Fast Depth Completion for Transparent Objects

https://github.com/norlab-ulaval/tfr24_borealhdr

공식 코드

Reproducible Evaluation of Camera Auto-Exposure Methods in the Field: Platform, Benchmark and Lessons Learned

https://github.com/npupilab/curriculumloc

공식 코드

CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement

https://github.com/nqian1/survey-on-odisr-and-odvsr

공식 코드

A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-Resolution

https://github.com/nsantavas/Attention-A-Lightweight-2D-Hand-Pose-Estimation-Approach

공식 코드

Attention! A Lightweight 2D Hand Pose Estimation Approach

https://github.com/nubot-nudt/td-nerf

공식 코드

TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization

https://github.com/nudlesoup/first2third-pose

공식 코드

Enhancing Egocentric 3D Pose Estimation with Third Person Views

https://github.com/nv-nguyen/gigapose

공식 코드

GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence

https://github.com/nv-nguyen/nope

공식 코드

NOPE: Novel Object Pose Estimation from a Single Image

https://github.com/nv-nguyen/template-pose

공식 코드

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

https://github.com/nvasilik/d-pose

공식 코드

D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation

https://github.com/nvidia-cosmos/cosmos-reason1

공식 코드

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

https://github.com/nvlabs/conformalkeypoint

공식 코드

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

https://github.com/nvlabs/glamr

공식 코드

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras

https://github.com/nvsclub/shotspeedestimation

공식 코드

A Survey of Advanced Computer Vision Techniques for Sports

https://github.com/nyquixt/kinematicnet

공식 코드

Deep learning-based estimation of whole-body kinematics from multi-view images

https://github.com/nyu-ce-projects/depth-estimation

공식 코드

Self-Supervised Learning based Depth Estimation from Monocular Images

https://github.com/oarriaga/bayesian-inverse-graphics

공식 코드

Bayesian Inverse Graphics for Few-Shot Concept Learning

https://github.com/oliverbansk/holistic-robot-pose-estimation

공식 코드

Real-time Holistic Robot Pose Estimation with Unknown States

https://github.com/omiksik/dfusion

공식 코드

Live Reconstruction of Large-Scale Dynamic Outdoor Worlds

https://github.com/open-debin/mm2latent

공식 코드

MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance

https://github.com/open-mmlab/mmediting

공식 코드

BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

https://github.com/open-mmlab/mmpose

공식 코드

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

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