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

https://github.com/orhir/PoseAnything

공식 코드

A Graph-Based Approach for Category-Agnostic Pose Estimation

https://github.com/orhir/stg-nf

공식 코드

Normalizing Flows for Human Pose Anomaly Detection

https://github.com/orpatashnik/BalaGAN

공식 코드

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

https://github.com/ostadabbas/Infant-Pose-Estimation

공식 코드

Invariant Representation Learning for Infant Pose Estimation with Small Data

https://github.com/ostadabbas/SLP-Dataset-and-Code

공식 코드

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

https://github.com/ostadabbas/SPAC-Net-Synthetic-Pose-aware-Animal-ControlNet

공식 코드

SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation

https://github.com/ostadabbas/ScanAvaGenerationToolkit

공식 코드

A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines

https://github.com/ostadabbas/adaptedhumanpose

공식 코드

Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data

https://github.com/ostadabbas/hw-hup

공식 코드

Heuristic Weakly Supervised 3D Human Pose Estimation

https://github.com/ostadabbas/infant-postural-symmetry

공식 코드

Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations

https://github.com/ostadabbas/infant-upper-body-postural-symmetry

공식 코드

Automatic Assessment of Infant Face and Upper-Body Symmetry as Early Signs of Torticollis

https://github.com/ostadabbas/nns-detection-and-segmentation

공식 코드

A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants

https://github.com/ostadabbas/prior-aware-synthetic-data-generation-pasyn-

공식 코드

Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data

https://github.com/ostadabbas/tepose

공식 코드

Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation

https://github.com/osu-nlp-group/magicbrush

공식 코드

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

https://github.com/otaheri/GRAB

공식 코드

GRAB: A Dataset of Whole-Body Human Grasping of Objects

https://github.com/otl-artorg/instrument-pose

공식 코드

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

https://github.com/owensun2004/Manual2Skill

공식 코드

Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models

https://github.com/oxpig/cesped

공식 코드

CESPED: a new benchmark for supervised particle pose estimation in Cryo-EM

https://github.com/p-lambda/jukemir

공식 코드

Codified audio language modeling learns useful representations for music information retrieval

https://github.com/paTRICK-swk/Pose3D-RIE

공식 코드

Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation

https://github.com/padeler/pe-former

공식 코드

PE-former: Pose Estimation Transformer

https://github.com/paint4poem/paint4poem

공식 코드

Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems

https://github.com/paloha/faket

공식 코드

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer

https://github.com/paloha/redistributor

공식 코드

Redistributor: Transforming Empirical Data Distributions

https://github.com/pandorgan/apt

공식 코드

APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking

https://github.com/pandorgan/apt-36k

공식 코드

APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking

https://github.com/panlingua/multilingual-tst-datasets

공식 코드

Multilingual Text Style Transfer: Datasets & Models for Indian Languages

https://github.com/panqihe-zjut/SOEBench

공식 코드

Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach

https://github.com/paper11667/clipstyler

공식 코드

CLIPstyler: Image Style Transfer with a Single Text Condition

https://github.com/parkjaewoo0611/dprost

공식 코드

DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation

https://github.com/paroj/ycbev

공식 코드

YCB-Ev 1.1: Event-vision dataset for 6DoF object pose estimation

https://github.com/parskatt/dad

공식 코드

DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection

https://github.com/parskatt/dedode

공식 코드

DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching

https://github.com/parskatt/dkm

공식 코드

DKM: Dense Kernelized Feature Matching for Geometry Estimation

https://github.com/passeul/style-transfer-model-evaluation

공식 코드

Evaluating Style Transfer for Text

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