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Animation techniques bring digital 3D worlds and characters to life.
Computer generated animation of faces
Frederick I Parke · 1972
Earlier work this paper cites.
A parametric model for human faces
Frederic Ira Parke · 1974
Earlier work this paper cites.
Casting curved shadows on curved surfaces
Lance Williams · 1978
Earlier work this paper cites.
Model-based image analysis of human motion using constraint propagation
Joseph O’rourke and Norman I Badler · 1980
Earlier work this paper cites.
Model-based vision: a program to see a walking person
David Hogg · 1983
Earlier work this paper cites.
Surface simplification using quadric error metrics
Michael Garland and Paul S Heckbert · 1997
Earlier work this paper cites.
Retargetting motion to new characters
Michael Gleicher · 1998
Earlier work this paper cites.
A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 1999
Earlier work this paper cites.
Motion editing, principles, practice and promise
Michael Gleicher, S Grassia, Zoran Popovic, S Rosenthal, and Jeffrey Thingvold · 2000
Earlier work this paper cites.
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
John P Lewis, Matt Cordner, and Nickson Fong · 2000
Earlier work this paper cites.
Tracking loose-limbed people
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J Black, and Michael Isard · 2004
Earlier work this paper cites.
Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
Leonid Sigal, Alexandru O Balan, and Michael J Black · 2010
Earlier work this paper cites.
Motion reconstruction using sparse accelerometer data
Jochen Tautges, Arno Zinke, Björn Krüger, Jan Baumann, Andreas Weber, Thomas Helten, Meinard Müller, Hans-Peter Seidel, and Bernd Eberhardt · 2011
Earlier work this paper cites.
Articulated people detection and pose estimation: Reshaping the future
Leonid Pishchulin, Arjun Jain, Mykhaylo Andriluka, Thorsten Thormählen, and Bernt Schiele · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
Earlier work this paper cites.
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Earlier work this paper cites.
Generative adversarial nets
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Earlier work this paper cites.
Deeppose: Human pose estimation via deep neural networks
Alexander Toshev and Christian Szegedy · 2014
Earlier work this paper cites.
Interactive motion mapping for real-time character control
Helge Rhodin, James Tompkin, Kwang In Kim, Kiran Varanasi, Hans-Peter Seidel, and Christian Theobalt · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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.
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Danilo Rezende and Shakir Mohamed · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
3d mesh compression: Survey, comparisons, and emerging trends
Adrien Maglo, Guillaume Lavoué, Florent Dupont, and Céline Hudelot · 2015
Earlier work this paper cites.
Panoptic studio: A massively multiview system for social motion capture
Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 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.
The KIT motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
Earlier work this paper cites.
Learning a model of facial shape and expression from 4D scans
Tianye Li, Timo Bolkart, Michael. J. Black, Hao Li, and Javier Romero · 2017
Earlier work this paper cites.
3d menagerie: Modeling the 3d shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David W Jacobs, and Michael J Black · 2017
Earlier work this paper cites.
Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 2017
Earlier work this paper cites.
Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
Earlier work this paper cites.
A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
Earlier work this paper cites.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 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 A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
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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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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Score-based generative modeling through stochastic differential equations
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai · 2023
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Text-to-4d dynamic scene generation
Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, et al · 2023
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Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models
Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, and Karsten Kreis · 2023
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Dreamgaussian4d: Generative 4d gaussian splatting
Jiawei Ren, Liang Pan, Jiaxiang Tang, Chi Zhang, Ang Cao, Gang Zeng, and Ziwei Liu · 2023
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4dgen: Grounded 4d content generation with spatial-temporal consistency
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Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 2020
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Who left the dogs out? 3d animal reconstruction with expectation maximization in the loop
Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, and Roberto Cipolla · 2020
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2021
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Yuyang Yin, Dejia Xu, Zhangyang Wang, Yao Zhao, and Yunchao Wei · 2023
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4d-fy: Text-to-4d generation using hybrid score distillation sampling
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, and David B Lindell · 2023
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A unified approach for text-and image-guided 4d scene generation
Yufeng Zheng, Xueting Li, Koki Nagano, Sifei Liu, Otmar Hilliges, and Shalini De Mello · 2023
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Consistent4d: Consistent 360° dynamic object generation from monocular video
Yanqin Jiang, Li Zhang, Jin Gao, Weiming Hu, and Yao Yao · 2023
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Animate124: Animating one image to 4d dynamic scene
Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, and Gim Hee Lee · 2023
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Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching
Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, and Yingcong Chen · 2023
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Slime: Segment like me
Aliasghar Khani, Saeid Asgari, Aditya Sanghi, Ali Mahdavi Amiri, and Ghassan Hamarneh · 2023
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Emergent correspondence from image diffusion
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, and Bharath Hariharan · 2023
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Wham: Reconstructing world-grounded humans with accurate 3d motion
Soyong Shin, Juyong Kim, Eni Halilaj, and Michael J Black · 2023
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Sparseposer: Real-time full-body motion reconstruction from sparse data
Jose Luis Ponton, Haoran Yun, Andreas Aristidou, Carlos Andujar, and Nuria Pelechano · 2023
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Human motion generation: A survey
Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, and Yizhou Wang · 2023
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Human motion diffusion model
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Mas: Multi-view ancestral sampling for 3d motion generation using 2d diffusion
Roy Kapon, Guy Tevet, Daniel Cohen-Or, and Amit H Bermano · 2023
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Zero-1-to-3: Zero-shot one image to 3d object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, and Carl Vondrick · 2023
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Ace: Adversarial correspondence embedding for cross morphology motion retargeting from human to nonhuman characters
Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, and Sehoon Ha · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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Textdeformer: Geometry manipulation using text guidance
William Gao, Noam Aigerman, Thibault Groueix, Vova Kim, and Rana Hanocka · 2023
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K-planes: Explicit radiance fields in space, time, and appearance
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
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Videocomposer: Compositional video synthesis with motion controllability
Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, and Jingren Zhou · 2024
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Text-to-3d shape generation
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Diffusion 3d features (diff3f): Decorating untextured shapes with distilled semantic features
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Diffusion hyperfeatures: Searching through time and space for semantic correspondence
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Video generation models as world simulators
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Veo, 2024
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Template-free articulated neural point clouds for reposable view synthesis
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