Paper : https://arxiv.org/abs/2110.05132 The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation We introduce CenterGroup, an attention-based framework to estimate human poses from a set of identity-agnostic keypoints and person center predictions in an image. Our approach uses a transformer to obtain context-aware embeddings for all detected keypoint arx..

Multi-person Pose Estimation은 아래 그림과 같이 이미지 상에 나타난 여러 사람들에 대한 keypoint 연결 관계를 추론해내는 것입니다. Multi-person Pose Estimation이 어려운 이유는 아래와 같습니다. 1. 여러명의 사람이 다양한 scale과 position에서 등장하는 문제 2. 사람들의 activity 및 interaction 으로 인해 complex pose를 유발됨 3. 여러 사람들의 body part articulation 및 occlusion로 인해 어려움 Top-down multi-people pose estimation 각 사람을 먼저 검출한 다음 검출된 이미지 패치에서 각 사람의 자세를 독립적으로 추정하는 전략입니다. 이러한 접근 방식의 장점은..

Paper : https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Contextual_Instance_Decoupling_for_Robust_Multi-Person_Pose_Estimation_CVPR_2022_paper.pdf GitHub : https://github.com/kennethwdk/CID

Paper : https://arxiv.org/abs/2207.02425 Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation We observe that human poses exhibit strong group-wise structural correlation and spatial coupling between keypoints due to the biological constraints of different body parts. This group-wise structural correlation can be explored to improve the accuracy an arxiv.org 이번에..

Paper : https://arxiv.org/abs/2111.08557 Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation In keypoint estimation tasks such as human pose estimation, heatmap-based regression is the dominant approach despite possessing notable drawbacks: heatmaps intrinsically suffer from quantization error and require excessive computation to ge..

Paper : https://arxiv.org/pdf/2207.10387.pdf GitHub : https://github.com/luminxu/Pose-for-Everything GitHub - luminxu/Pose-for-Everything: The official repo for ECCV'22 paper: Pose for Everything: Towards Category-Agnostic Pose E The official repo for ECCV'22 paper: Pose for Everything: Towards Category-Agnostic Pose Estimation - GitHub - luminxu/Pose-for-Everything: The official repo for ECCV'2..

Paper : https://arxiv.org/pdf/2107.10466.pdf GitHub : https://github.com/IIGROUP/PoseDet GitHub - IIGROUP/PoseDet: [FG 2021] Code for PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding [FG 2021] Code for PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding - GitHub - IIGROUP/PoseDet: [FG 2021] Code for PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding github..

기존 AdaptivePose 관련 글 https://eehoeskrap.tistory.com/664 [Paper Review] AdaptivePose : Human Parts as Adaptive Points Paper : https://arxiv.org/pdf/2112.13635.pdf 이번에 리뷰할 논문은 AAAI 2022에서 소개된 "AdaptivePose : Human Parts as Adaptive Points" 라는 논문입니다. multi-person pose estimation 방법은 보통 bottom up 이나 top down 방식으 eehoeskrap.tistory.com Paper : https://arxiv.org/pdf/2210.04014v1.pdf AdaptivePose에 이어 A..

Paper : https://arxiv.org/pdf/2112.13635.pdf Github : https://github.com/buptxyb666/AdaptivePose GitHub - buptxyb666/AdaptivePose: This is an official implementation of our AAAI2022 paper“AdaptivePose: Human Parts as Adapti This is an official implementation of our AAAI2022 paper“AdaptivePose: Human Parts as Adaptive Points” - GitHub - buptxyb666/AdaptivePose: This is an official implementation ..

Paper : https://arxiv.org/abs/2208.00090 Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation Occlusion poses a great threat to monocular multi-person 3D human pose estimation due to large variability in terms of the shape, appearance, and position of occluders. While existing methods try to handle occlusion with pose priors/constraints, data augme arxiv.org GitHub : https://gi..

Paper : https://openaccess.thecvf.com/content/CVPR2022/papers/Kundu_Uncertainty-Aware_Adaptation_for_Self-Supervised_3D_Human_Pose_Estimation_CVPR_2022_paper.pdf 본 논문의 main contribution은 아래와 같습니다. multi-representation pose network를 사용하는 MRP-Net을 제안하였으며, pose-uncertainty는 두 가지 다양한 설계(model-free, model-based)를 기반으로 하는 2개의 output head를 통한 pose prediction간의 불일치로 정량화됩니다. 제안된 포즈와 joint uncertainty의 효율..

Paper : https://openaccess.thecvf.com/content_ICCV_2019/papers/Cheng_Occlusion-Aware_Networks_for_3D_Human_Pose_Estimation_in_Video_ICCV_2019_paper.pdf 본 논문에서는 3D Human Pose Estimation에서 Occlusion 문제를 해결하기 위하여 occlusion aware deep learning framework 제안합니다. 이를 위해 keypoint의 2D confidence heatmap과 optical flow의 consistency constraint를 사용하여 occluded keypoint의 unreliable estimation을 filtering 합니다. oc..