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

Project page : https://scenediffuser.github.io/ SceneDiffuser Siyuan Huang1✶✉️ Zan Wang1,2✶ Puhao Li1,3 Baoxiong Jia1 Tengyu Liu1 Yixin Zhu4 Wei Liang2✉️ Song-Chun Zhu1,3,4 ✶ indicates equal contribution ✉️ indicates corresponding authors 1National Key Labor scenediffuser.github.io Video : https://scenediffuser.github.io/assets/illustration-720.mp4 Paper : Diffusion-based Generation, Optimizatio..

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..

Paper : https://arxiv.org/pdf/2204.13686.pdf Project page : https://caizhongang.github.io/projects/HuMMan/ HuMMan HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling Zhongang Cai* Daxuan Ren* Ailing Zeng* Zhengyu Lin* Tao Yu* Wenjia Wang* Xiangyu Fan Yang Gao Yifan Yu Liang Pan Fangzhou Hong Mingyuan Zhang Chen Change Loy Lei Yang^ Ziwei Liu^ Shang caizhongang.github.io 오늘 살펴..

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..