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Generating both plausible and accurate full body avatar motion is the key to the quality of immersive experiences in mixed reality scenarios.
On the limited memory BFGS method for large scale optimization
Dong C Liu and Jorge Nocedal · 1989
Earlier work this paper cites.
Numerical optimization
Jorge Nocedal and Stephen Wright · 2006
Earlier work this paper cites.
On the properties of neural machine translation: Encoder-decoder approaches
Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio · 2014
Earlier work this paper cites.
Auto-encoding variational Bayes
Diederik P Kingma and Max Welling · 2014
Earlier work this paper cites.
MoSh: Motion and shape capture from sparse markers
Matthew Loper, Naureen Mahmood, and Michael J Black · 2014
Earlier work this paper cites.
Motion matching-the road to next gen animation
Michael Büttner and Simon Clavet · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
Earlier work this paper cites.
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Sparse inertial poser: Automatic 3D human pose estimation from sparse IMUs
Timo Von Marcard, Bodo Rosenhahn, Michael J Black, and Gerard Pons-Moll · 2017
Earlier work this paper cites.
Deep inertial poser: Learning to reconstruct human pose from sparse inertial measurements in real time
Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J Black, Otmar Hilliges, and Gerard Pons-Moll · 2018
Earlier work this paper cites.
A general and adaptive robust loss function
Jonathan T Barron · 2019
Earlier work this paper cites.
AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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Expressive body capture: 3D hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
Cited alongside, same era.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Cited alongside, same era.
3D multi-bodies: Fitting sets of plausible 3D human models to ambiguous image data
Benjamin Biggs, Sébastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, and David Novotny · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Probabilistic modeling for human mesh recovery
Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, and Kostas Daniilidis · 2021
Later among the works it cites.
Probabilistic tracklet scoring and inpainting for multiple object tracking
Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, and Stephen Gould · 2021
Later among the works it cites.
Final IK
Unity Asset Store · 2021
Later among the works it cites.
LoBSTr: Real-time lower-body pose prediction from sparse upper-body tracking signals
Dongseok Yang, Doyeon Kim, and Sung-Hee Lee · 2021
Later among the works it cites.
TransPose: Real-time 3D human translation and pose estimation with six inertial sensors
Xinyu Yi, Yuxiao Zhou, and Feng Xu · 2021
Later among the works it cites.
THUNDR: Transformer-based 3D human reconstruction with markers
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Learned motion matching
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PIFuHD: Multi-level pixel-aligned implicit function for high-resolution 3D human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
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Hololens 2 research mode as a tool for computer vision research
Dorin Ungureanu, Federica Bogo, Silvano Galliani, Pooja Sama, Casey Meekhof, Jan Stühmer, Thomas J Cashman, Bugra Tekin, Johannes L Schönberger, Pawel Olszta, et al · 2020
Cited alongside, same era.
Weakly supervised 3D human pose and shape reconstruction with normalizing flows
Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 2020
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Coolmoves: User motion accentuation in virtual reality
Karan Ahuja, Eyal Ofek, Mar Gonzalez-Franco, Christian Holz, and Andrew D Wilson · 2021
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Learning to fit morphable models
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Full-body motion from a single head-mounted device: Generating SMPL poses from partial observations
Andrea Dittadi, Sebastian Dziadzio, Darren Cosker, Ben Lundell, Thomas J Cashman, and Jamie Shotton · 2021
Cited alongside, same era.
Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 2021
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We are more than our joints: Predicting how 3D bodies move
Yan Zhang, Michael J Black, and Siyu Tang · 2021
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FLAG: Flow-based 3D avatar generation from sparse observations
Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew Fitzgibbon, and Thomas J Cashman · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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AvatarPoser: Articulated full-body pose tracking from sparse motion sensing
Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich, Patrick Snape, and Christian Holz · 2022
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Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices
Jose Luis Ponton, Haoran Yun, Carlos Andujar, and Nuria Pelechano · 2022
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Questsim: Human motion tracking from sparse sensors with simulated avatars
Alexander Winkler, Jungdam Won, and Yuting Ye · 2022
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Physical Inertial Poser (PIP): Physics-aware real-time human motion tracking from sparse inertial sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, and Feng Xu · 2022
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