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One of the mainstream schemes for 2D human pose estimation (HPE) is learning keypoints heatmaps by a neural network.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Compositional human pose regression
Xiao Sun, Jiaxiang Shang, Shuang Liang, and Yichen Wei · 2017
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Learning to refine human pose estimation
Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, and Bernt Schiele · 2018
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Simple baselines for human pose estimation and tracking
Bin Xiao, Haiping Wu, and Yichen Wei · 2018
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Pifpaf: Composite fields for human pose estimation
Sven Kreiss, Lorenzo Bertoni, and Alexandre Alahi · 2019
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Crowdpose: Efficient crowded scenes pose estimation and a new benchmark
Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, and Cewu Lu · 2019
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Posefix: Model-agnostic general human pose refinement network
Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2019
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Learning recurrent structure-guided attention network for multi-person pose estimation
Zhongwei Qiu, Kai Qiu, Jianlong Fu, and Dongmei Fu · 2019
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Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
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Large-scale datasets for going deeper in image understanding
Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, et al · 2019
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Deephuman: 3d human reconstruction from a single image
Zerong Zheng, Tao Yu, Yixuan Wei, Qionghai Dai, and Yebin Liu · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation
Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S Huang, and Lei Zhang · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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The devil is in the details: Delving into unbiased data processing for human pose estimation
Junjie Huang, Zheng Zhu, Feng Guo, and Guan Huang · 2020
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Disentangling and unifying graph convolutions for skeleton-based action recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, and Wanli Ouyang · 2020
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Peeking into occluded joints: A novel framework for crowd pose estimation
Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, and Shuguang Cui · 2020
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Dgcn: Dynamic graph convolutional network for efficient multi-person pose estimation
Zhongwei Qiu, Kai Qiu, Jianlong Fu, and Dongmei Fu · 2020
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Graph-pcnn: Two stage human pose estimation with graph pose refinement
Jian Wang, Xiang Long, Yuan Gao, Errui Ding, and Shilei Wen · 2020
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Point-set anchors for object detection, instance segmentation and pose estimation
Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, and Stephen Lin · 2020
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Analog bits: Generating discrete data using diffusion models with self-conditioning
Ting Chen, Ruixiang Zhang, and Geoffrey Hinton · 2022
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Davit: Dual attention vision transformers
Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, and Lu Yuan · 2022
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Diffpose: Toward more reliable 3d pose estimation
Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, and Jun Liu · 2022
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Diffusioninst: Diffusion model for instance segmentation
Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, and Weiqiang Wang · 2022
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Video diffusion models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Distribution-aware coordinate representation for human pose estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, and Ce Zhu · 2020
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Bottom-up human pose estimation via disentangled keypoint regression
Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, and Jingdong Wang · 2021
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Human pose regression with residual log-likelihood estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, and Cewu Lu · 2021
Cited alongside, same era.
Tokenpose: Learning keypoint tokens for human pose estimation
Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, and Erjin Zhou · 2021
Cited alongside, same era.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
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H-nerf: Neural radiance fields for rendering and temporal reconstruction of humans in motion
Hongyi Xu, Thiemo Alldieck, and Cristian Sminchisescu · 2021
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Diffpose: Multi-hypothesis human pose estimation using diffusion models
Karl Holmquist and Bastian Wandt · 2022
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Srdiff: Single image super-resolution with diffusion probabilistic models
Haoying Li, Yifan Yang, Meng Chang, Shiqi Chen, Huajun Feng, Zhihai Xu, Qi Li, and Yueting Chen · 2022
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Latent-nerf for shape-guided generation of 3d shapes and textures
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, and Daniel Cohen-Or · 2022
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob Mcgrew, Ilya Sutskever, and Mark Chen · 2022
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Learning spatiotemporal frequency-transformer for compressed video super-resolution
Zhongwei Qiu, Huan Yang, Jianlong Fu, and Dongmei Fu · 2022
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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End-to-end multi-person pose estimation with transformers
Dahu Shi, Xing Wei, Liangqi Li, Ye Ren, and Wenming Tan · 2022
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Contextual instance decoupling for robust multi-person pose estimation
Dongkai Wang and Shiliang Zhang · 2022
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Multi-tailed vision transformer for efficient inference
Yunke Wang, Bo Du, and Chang Xu · 2022
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Vitpose: Simple vision transformer baselines for human pose estimation
Yufei Xu, Jing Zhang, Qiming Zhang, and Dacheng Tao · 2022
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Psvt: End-to-end multi-person 3d pose and shape estimation with progressive video transformers
Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, and Jingdong Wang · 2023
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Learning to schedule in diffusion probablisitic models
Yunke Wang, Xiyu Wang, Dung Dinh Anh, Bo Du, and Chang Xu · 2023
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Explicit box detection unifies end-to-end multi-person pose estimation
Jie Yang, Ailing Zeng, Shilong Liu, Feng Li, Ruimao Zhang, and Lei Zhang · 2023
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