Papers with Code 아카이브

Pose Estimation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/thusiyuan/cooperative_scene_parsing

공식 코드

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

https://github.com/tianfu18/diff-feats-pose

공식 코드

Object Pose Estimation via the Aggregation of Diffusion Features

https://github.com/tianhang-cheng/sfd

공식 코드

Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects

https://github.com/tianyuan168326/SelfC

공식 코드

Self-Conditioned Probabilistic Learning of Video Rescaling

https://github.com/tibhannover/iart-semi-pose

공식 코드

Semi-supervised Human Pose Estimation in Art-historical Images

https://github.com/tiev-tongji/convexhull-based-algebraic-constraint

공식 코드

Convex Hull-based Algebraic Constraint for Visual Quadric SLAM

https://github.com/tinatiansjz/hmr-survey

공식 코드

Recovering 3D Human Mesh from Monocular Images: A Survey

https://github.com/tinghuiz/SfMLearner

공식 코드

Unsupervised Learning of Depth and Ego-Motion from Video

https://github.com/tingtingliao/soap

공식 코드

SOAP: Style-Omniscient Animatable Portraits

https://github.com/tintinrevient/joints-data

공식 코드

Automatic Analysis of Human Body Representations in Western Art

https://github.com/tiny-smart/SCAPE

공식 코드

SCAPE: A Simple and Strong Category-Agnostic Pose Estimator

https://github.com/tinyvision/SOLIDER

공식 코드

Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

https://github.com/tjiiv-cprg/MonoRUn

공식 코드

MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

https://github.com/tjiiv-cprg/epro-pnp

공식 코드

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

https://github.com/tjiiv-cprg/epro-pnp-v2

공식 코드

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

https://github.com/tlpss/workshop-icra-2022-cloth-keypoints

공식 코드

Learning Keypoints from Synthetic Data for Robotic Cloth Folding

https://github.com/tobibaum/partialsportsfieldreg_3dhpe

공식 코드

Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration

https://github.com/tofis/human4d_dataset

공식 코드

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

https://github.com/topo-epfl/crossloc

공식 코드

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data

https://github.com/torrvision/spaint

공식 코드

Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade

https://github.com/toytiny/milliflow

공식 코드

milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing

https://github.com/tpark94/speedplusbaseline

공식 코드

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

https://github.com/tpark94/spnv2

공식 코드

Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap

https://github.com/tqtrunghnvn/SimMRPose

공식 코드

Simple Multi-Resolution Representation Learning for Human Pose Estimation

https://github.com/transpchan/Live3D

공식 코드

Collaborative Neural Rendering using Anime Character Sheets

https://github.com/travisdriver/spc-factor-results

공식 코드

Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph Approach

https://github.com/truongkhang/deviloc

공식 코드

Learning to Produce Semi-dense Correspondences for Visual Localization

https://github.com/tsattler/meshloc_release

공식 코드

MeshLoc: Mesh-Based Visual Localization

https://github.com/tsattler/understanding_apr

공식 코드

Understanding the Limitations of CNN-based Absolute Camera Pose Regression

https://github.com/tteepe/GaitGraph

공식 코드

GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

https://github.com/tteepe/gaitgraph2

공식 코드

Towards a Deeper Understanding of Skeleton-based Gait Recognition

https://github.com/ttxskk/AiOS

공식 코드

AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation

https://github.com/tudelft-iv/ccvpe

공식 코드

Convolutional Cross-View Pose Estimation

https://github.com/tudelft-iv/slicematch

공식 코드

SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation

https://github.com/tum-vision/tandem

공식 코드

TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

https://github.com/twehrbein/Probabilistic-Monocular-3D-Human-Pose-Estimation-with-Normalizing-Flows

공식 코드

Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows

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