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Pose Retrieval

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs

CAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval

Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes

An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interface

MaFreeI2P: A Matching-Free Image-to-Point Cloud Registration Paradigm with Active Camera Pose Retrieval

HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans

Automatically Annotating Indoor Images with CAD Models via RGB-D Scans

Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation

TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation

Transfer Learning for Pose Estimation of Illustrated Characters

FixMyPose: Pose Correctional Captioning and Retrieval

I Like to Move It: 6D Pose Estimation as an Action Decision Process

View-Invariant Probabilistic Embedding for Human Pose

Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation

LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization

When Regression Meets Manifold Learning for Object Recognition and Pose Estimation

A Dual-Source Approach for 3D Human Pose Estimation from a Single Image

Learning Robust Hash Codes for Multiple Instance Image Retrieval

A Dual-Source Approach for 3D Pose Estimation from a Single Image

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