Fetching the paper…
Reading the bibliography…
With the explosive growth of available training data, single-image 3D human modeling is ahead of a transition to a data-centric paradigm.
A solution for the best rotation to relate two sets of vectors
W. Kabsch · 1976
Earlier work this paper cites.
A brief description of natural neighbour interpolation
R. Sibson · 1981
Earlier work this paper cites.
Laplace–beltrami eigenfunctions for deformation invariant shape representation
R. M. Rustamov · 2007
Earlier work this paper cites.
Natural neighbor interpolation-critical assessment and new contributions
T. A. Bobach · 2009
Earlier work this paper cites.
Latent structured models for human pose estimation
C. Ionescu, F. Li, and C. Sminchisescu · 2011
Earlier work this paper cites.
Utrecht Multi-Person Motion (UMPM) benchmark: a multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction
N. P. van der Aa, X. Luo, G.-J. Giezeman, R. T. Tan, and R. C. Veltkamp · 2011
Earlier work this paper cites.
Berkeley MHAD: A comprehensive multimodal human action database
F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, and R. Bajcsy · 2013
Earlier work this paper cites.
Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2014
Earlier work this paper cites.
Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
SMPL: A skinned multi-person linear model
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black · 2015
Earlier work this paper cites.
DeeperCut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
Earlier work this paper cites.
End-to-end training of deep visuomotor policies
S. Levine, C. Finn, T. Darrell, and P. Abbeel · 2016
Earlier work this paper cites.
DenseReg: Fully convolutional dense shape regression in-the-wild
R. Alp Guler, G. Trigeorgis, E. Antonakos, P. Snape, S. Zafeiriou, and I. Kokkinos · 2017
Earlier work this paper cites.
Dynamic FAUST: Registering human bodies in motion
F. Bogo, J. Romero, G. Pons-Moll, and M. J. Black · 2017
Earlier work this paper cites.
Hypernetworks
D. Ha, A. M. Dai, and Q. V. Le · 2017
Earlier work this paper cites.
Batch renormalization: Towards reducing minibatch dependence in batch-normalized models
S. Ioffe · 2017
Earlier work this paper cites.
Unite the people: Closing the loop between 3D and 2D human representations
C. Lassner, J. Romero, M. Kiefel, F. Bogo, M. J. Black, and P. V. Gehler · 2017
Earlier work this paper cites.
Coarse-to-fine volumetric prediction for single-image 3D human pose
G. Pavlakos, X. Zhou, K. G. Derpanis, and K. Daniilidis · 2017
Earlier work this paper cites.
Total Capture: 3D human pose estimation fusing video and inertial sensors
M. Trumble, A. Gilbert, C. Malleson, A. Hilton, and J. Collomosse · 2017
Earlier work this paper cites.
Learning from synthetic humans
G. Varol, J. Romero, X. Martin, N. Mahmood, M. J. Black, I. Laptev, and C. Schmid · 2017
Earlier work this paper cites.
AI Challenger: A large-scale dataset for going deeper in image understanding
J. Wu, H. Zheng, B. Zhao, Y. Li, B. Yan, R. Liang, W. Wang, S. Zhou, G. Lin, Y. Fu, et al · 2017
Earlier work this paper cites.
Martial Arts, Dancing and Sports Dataset: a challenging stereo and multi-view dataset for 3D human pose estimation
W. Zhang, Z. Liu, L. Zhou, H. Leung, and A. B. Chan · 2017
Earlier work this paper cites.
PoseTrack: A benchmark for human pose estimation and tracking
M. Andriluka, U. Iqbal, E. Insafutdinov, L. Pishchulin, A. Milan, J. Gall, and B. Schiele · 2018
Earlier work this paper cites.
Learning to detect and track visible and occluded body joints in a virtual world
M. Fabbri, F. Lanzi, S. Calderara, A. Palazzi, R. Vezzani, and R. Cucchiara · 2018
Earlier work this paper cites.
DensePose: Dense human pose estimation in the wild
R. A. Güler, N. Neverova, and I. Kokkinos · 2018
Earlier work this paper cites.
End-to-end recovery of human shape and pose
A. Kanazawa, M. J. Black, D. W. Jacobs, and J. Malik · 2018
Earlier work this paper cites.
Single-shot multi-person 3D pose estimation from monocular RGB
D. Mehta, O. Sotnychenko, F. Mueller, W. Xu, S. Sridhar, G. Pons-Moll, and C. Theobalt · 2018
Earlier work this paper cites.
Dense pose transfer
N. Neverova, R. A. Güler, and I. Kokkinos · 2018
Earlier work this paper cites.
Numerical coordinate regression with convolutional neural networks
A. Nibali, Z. He, S. Morgan, and L. Prendergast · 2018
Earlier work this paper cites.
Unsupervised person image synthesis in arbitrary poses
A. Pumarola, A. Agudo, A. Sanfeliu, and F. Moreno-Noguer · 2018
Earlier work this paper cites.
Integral human pose regression
X. Sun, B. Xiao, S. Liang, and Y. Wei · 2018
Earlier work this paper cites.
Recovering accurate 3D human pose in the wild using IMUs and a moving camera
T. von Marcard, R. Henschel, M. J. Black, B. Rosenhahn, and G. Pons-Moll · 2018
Earlier work this paper cites.
SAIL-VOS: Semantic amodal instance level video object segmentation – a synthetic dataset and baselines
Y.-T. Hu, H.-S. Chen, K. Hui, J.-B. Huang, and A. G. Schwing · 2019
Earlier work this paper cites.
Panoptic Studio: A massively multiview system for social interaction capture
H. Joo, T. Simon, X. Li, H. Liu, L. Tan, L. Gui, S. Banerjee, T. Godisart, B. C. Nabbe, I. A. Matthews, T. Kanade, S. Nobuhara, and Y. Sheikh · 2019
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
Earlier work this paper cites.
Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2019
Earlier work this paper cites.
Occupancy networks: Learning 3D reconstruction in function space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 2019
Earlier work this paper cites.
DeepSDF: Learning continuous signed distance functions for shape representation
J. J. Park, P. Florence, J. Straub, R. Newcombe, and S. Lovegrove · 2019
Earlier work this paper cites.
Expressive body capture: 3D hands, face, and body from a single image
G. Pavlakos, V. Choutas, N. Ghorbani, T. Bolkart, A. A. A. Osman, D. Tzionas, and M. J. Black · 2019
Cited alongside, same era.
On the spectral bias of neural networks
N. Rahaman, A. Baratin, D. Arpit, F. Draxler, M. Lin, F. Hamprecht, Y. Bengio, and A. Courville · 2019
Cited alongside, same era.
Geometric Pose Affordance: 3D human pose with scene constraints
Z. Wang, L. Chen, S. Rathore, D. Shin, and C. Fowlkes · 2019
Cited alongside, same era.
DenseBody: Directly regressing dense 3D human pose and shape from a single color image
P. Yao, Z. Fang, F. Wu, Y. Feng, and J. Li · 2019
Cited alongside, same era.
Neural unsigned distance fields for implicit function learning
J. Chibane, A. Mir, and G. Pons-Moll · 2020
Cited alongside, same era.
Accurate 3D body shape regression using metric and semantic attributes
V. Choutas, L. Müller, C.-H. P. Huang, S. Tang, D. Tzionas, and M. J. Black · 2022
Later among the works it cites.
Learned vertex descent: A new direction for 3D human model fitting
E. Corona, G. Pons-Moll, G. Alenyà, and F. Moreno-Noguer · 2022
Later among the works it cites.
AlphaPose: Whole-body regional multi-person pose estimation and tracking in real-time
H.-S. Fang, J. Li, H. Tang, C. Xu, H. Zhu, Y. Xiu, Y.-L. Li, and C. Lu · 2022
Later among the works it cites.
CLIFF: Carrying location information in full frames into human pose and shape estimation
Z. Li, J. Liu, Z. Zhang, S. Xu, and Y. Yan · 2022
Later among the works it cites.
Accurate 3D hand pose estimation for whole-body 3D human mesh estimation
G. Moon, H. Choi, and K. M. Lee · 2022
Later among the works it cites.
Benchmarking and analyzing 3D human pose and shape estimation beyond algorithms
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pose2Mesh: Graph convolutional network for 3D human pose and mesh recovery from a 2D human pose
H. Choi, G. Moon, and K. M. Lee · 2020
Cited alongside, same era.
Three-dimensional reconstruction of human interactions
M. Fieraru, M. Zanfir, E. Oneata, A.-I. Popa, V. Olaru, and C. Sminchisescu · 2020
Cited alongside, same era.
Whole-body human pose estimation in the wild
S. Jin, L. Xu, J. Xu, C. Wang, W. Liu, C. Qian, W. Ouyang, and P. Luo · 2020
Cited alongside, same era.
XNect: Real-time multi-person 3D human pose estimation with a single RGB camera
D. Mehta, O. Sotnychenko, F. Mueller, W. Xu, M. Elgharib, P. Fua, H.-P. Seidel, H. Rhodin, G. Pons-Moll, and C. Theobalt · 2020
Cited alongside, same era.
NeRF: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
Cited alongside, same era.
I2L-MeshNet: Image-to-lixel prediction network for accurate 3D human pose and mesh estimation from a single RGB image
G. Moon and K. M. Lee · 2020
Cited alongside, same era.
Continuous surface embeddings
N. Neverova, D. Novotny, M. Szafraniec, V. Khalidov, P. Labatut, and A. Vedaldi · 2020
Cited alongside, same era.
H. E. Pang, Z. Cai, L. Yang, T. Zhang, and Z. Liu · 2022
Later among the works it cites.
On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks
M. Seitzer, A. Tavakoli, D. Antic, and G. Martius · 2022
Later among the works it cites.
ZoomNAS: Searching for whole-body human pose estimation in the wild
L. Xu, S. Jin, W. Liu, C. Qian, W. Ouyang, P. Luo, and X. Wang · 2022
Later among the works it cites.
LASOR: Learning accurate 3D human pose and shape via synthetic occlusion-aware data and neural mesh rendering
K. Yang, R. Gu, M. Wang, M. Toyoura, and G. Xu · 2022
Later among the works it cites.
GLAMR: Global occlusion-aware human mesh recovery with dynamic cameras
Y. Yuan, U. Iqbal, P. Molchanov, K. Kitani, and J. Kautz · 2022
Later among the works it cites.
EgoBody: Human body shape and motion of interacting people from head-mounted devices
S. Zhang, Q. Ma, Y. Zhang, Z. Qian, T. Kwon, M. Pollefeys, F. Bogo, and S. Tang · 2022
Later among the works it cites.
BEDLAM: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
M. J. Black, P. Patel, J. Tesch, and J. Yang · 2023
Later among the works it cites.
SMPLer-X: Scaling up expressive human pose and shape estimation
Z. Cai, W. Yin, A. Zeng, C. Wei, Q. Sun, Y. Wang, H. E. Pang, H. Mei, M. Zhang, L. Zhang, C. C. Loy, L. Yang, and Z. Liu · 2023
Later among the works it cites.
SMPLitex: A generative model and dataset for 3D human texture estimation from single image
D. Casas and M. Comino-Trinidad · 2023
Later among the works it cites.
Continuous landmark detection with 3D queries
P. Chandran, G. Zoss, P. Gotardo, and D. Bradley · 2023
Later among the works it cites.
DNA-Rendering: A diverse neural actor repository for high-fidelity human-centric rendering
W. Cheng, R. Chen, W. Yin, S. Fan, K. Chen, H. He, H. Luo, Z. Cai, J. Wang, Y. Gao, Z. Yu, Z. Lin, D. Ren, L. Yang, Z. Liu, C. C. Loy, C. Qian, W. Wu, D. Lin, B. Dai, and K.-Y. Lin · 2023
Later among the works it cites.
ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Z. Fan, O. Taheri, D. Tzionas, M. Kocabas, M. Kaufmann, M. J. Black, and O. Hilliges · 2023
Later among the works it cites.
Humans in 4D: Reconstructing and tracking humans with transformers
S. Goel, G. Pavlakos, J. Rajasegaran, A. Kanazawa*, and J. Malik* · 2023
Later among the works it cites.
Ultralytics YOLO, Jan. 2023
G. Jocher, A. Chaurasia, and J. Qiu · 2023
Later among the works it cites.
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
M. Kaufmann, J. Song, C. Guo, K. Shen, T. Jiang, C. Tang, J. J. Zárate, and O. Hilliges · 2023
Later among the works it cites.
Egohumans: An egocentric 3D multi-human benchmark
R. Khirodkar, A. Bansal, L. Ma, R. Newcombe, M. Vo, and K. Kitani · 2023
Later among the works it cites.
Hybrik-x: Hybrid analytical-neural inverse kinematics for whole-body mesh recovery
J. Li, S. Bian, C. Xu, Z. Chen, L. Yang, and C. Lu · 2023
Later among the works it cites.
3D human mesh estimation from virtual markers
X. Ma, J. Su, C. Wang, W. Zhu, and Y. Wang · 2023
Later among the works it cites.
Learning 3D human pose estimation from dozens of datasets using a geometry-aware autoencoder to bridge between skeleton formats
I. Sárándi, A. Hermans, and B. Leibe · 2023
Later among the works it cites.
Shape of you: Precise 3D shape estimations for diverse body types
R. Sarkar, A. Dave, G. Medioni, and B. Biggs · 2023
Later among the works it cites.
HuManiFlow: Ancestor-conditioned normalising flows on SO(3) manifolds for human pose and shape distribution estimation
A. Sengupta, I. Budvytis, and R. Cipolla · 2023
Later among the works it cites.
Recovering 3D human mesh from monocular images: A survey
Y. Tian, H. Zhang, Y. Liu, and L. Wang · 2023
Later among the works it cites.
3D human pose estimation via intuitive physics
S. Tripathi, L. Müller, C.-H. P. Huang, T. Omid, M. J. Black, and D. Tzionas · 2023
Later among the works it cites.
JRDB-Pose: A large-scale dataset for multi-person pose estimation and tracking
E. Vendrow, D. T. Le, and H. Rezatofighi · 2023
Later among the works it cites.
SynBody: Synthetic dataset with layered human models for 3D human perception and modeling
Z. Yang, Z. Cai, H. Mei, S. Liu, Z. Chen, W. Xiao, Y. Wei, Z. Qing, C. Wei, B. Dai, W. Wu, C. Qian, D. Lin, Z. Liu, and L. Yang · 2023
Later among the works it cites.
Hi4D: 4D instance segmentation of close human interaction
Y. Yin, C. Guo, M. Kaufmann, J. Zarate, J. Song, and O. Hilliges · 2023
Later among the works it cites.
Deformable mesh transformer for 3D human mesh recovery
Y. Yoshiyasu · 2023
Later among the works it cites.
PyMAF-X: Towards well-aligned full-body model regression from monocular images
H. Zhang, Y. Tian, Y. Zhang, M. Li, L. An, Z. Sun, and Y. Liu · 2023
Later among the works it cites.
KBody: Towards general, robust, and aligned monocular whole-body estimation
N. Zioulis and J. F. O’Brien · 2023
Later among the works it cites.
Multi-HMR: Multi-person whole-body human mesh recovery in a single shot
F. Baradel, M. Armando, S. Galaaoui, R. Brégier, P. Weinzaepfel, G. Rogez, and T. Lucas · 2024
Closest in time.
ShapeBoost: Boosting human shape estimation with part-based parameterization and clothing-preserving augmentation
S. Bian, J. Li, J. Tang, and C. Lu · 2024
Closest in time.
Blendify – Python rendering framework for Blender
V. Guzov, I. A. Petrov, and G. Pons-Moll · 2024
Closest in time.
WHAM: Reconstructing world-grounded humans with accurate 3D motion
S. Shin, J. Kim, E. Halilaj, and M. J. Black · 2024
Closest in time.