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Our goal is to recover the 3D shape and pose of dogs from a single image.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton · 2008
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Novel dataset for fine-grained image categorization
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Li Fei-Fei · 2011
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What shape are dolphins? building 3D morphable models from 2D images
Thomas J. Cashman and Andrew W. Fitzgibbon · 2013
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Balloon shapes: Reconstructing and deforming objects with volume from images
S Vicente and L Agapito · 2013
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DeepFace: Closing the gap to human-level performance in face verification
Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, and Lior Wolf · 2014
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Component-wise modeling of articulated objects
Valsamis Ntouskos, Marta Sanzari, Bruno Cafaro, Federico Nardi, Fabrizio Natola, Fiora Pirri, and Manuel Ruiz · 2015
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FaceNet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Genomic analyses reveal the influence of geographic origin, migration, and hybridization on modern dog breed development
Parker H. G., Dreger D. L., Rimbault M., Davis B. W., Mullen A. B., Carpintero-Ramirez G., and Ostrander E. A · 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.
Creatures great and SMAL: Recovering the shape and motion of animals from video
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, and Roberto Cipolla · 2018
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Learning category-specific mesh reconstruction from image collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A Efros, and Jitendra Malik · 2018
Cited alongside, same era.
Numerical coordinate regression with convolutional neural networks
Aiden Nibali, Zhen He, Stuart Morgan, and Luke Prendergast · 2018
Cited alongside, same era.
Learning to estimate 3d human pose and shape from a single color image
Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, and Kostas Daniilidis · 2018
Cited alongside, same era.
Lions and tigers and bears: Capturing non-rigid, 3d, articulated shape from images
Silvia Zuffi, Angjoo Kanazawa, and Michael J Black · 2018
Cited alongside, same era.
Cross-domain adaptation for animal pose estimation
Jinkun Cao, Hongyang Tang, Hao-Shu Fang, Xiaoyong Shen, Cewu Lu, and Yu-Wing Tai · 2019
Cited alongside, same era.
Shape and viewpoints without keypoints
Shubham Goel, Angjoo Kanazawa, and Jitendra Malik · 2020
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RGBD-dog: Predicting canine pose from RGBD sensors
Sinéad Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, and Darren Cosker · 2020
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Learning from synthetic animals
Jiteng Mu, Weichao Qiu, Gregory D Hager, and Alan L Yuille · 2020
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Accelerating 3d deep learning with PyTorch3D
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 2020
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Transferring dense pose to proximal animal classes
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S McCarthy, Andrea Vedaldi, and Natalia Neverova · 2020
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Implicit mesh reconstruction from unannotated image collections
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Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black · 2019
Cited alongside, same era.
Efficient learning on point clouds with basis point sets
Sergey Prokudin, Christoph Lassner, and Javier Romero · 2019
Cited alongside, same era.
Learning to regress 3d face shape and expression from an image without 3d supervision
Soubhik Sanyal, Timo Bolkart, Haiwen Feng, 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
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Three-D safari: Learning to estimate zebra pose, shape, and texture from images ”in the wild”
Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, and Michael J Black · 2019
Cited alongside, same era.
Who left the dogs out: 3D animal reconstruction with expectation maximization in the loop
Benjamin Biggs, Ollie Boyne, James Charles, Andrew Fitzgibbon, and Roberto Cipolla · 2020
Cited alongside, same era.
Shubham Tulsiani, Nilesh Kulkarni, and Abhinav Gupta · 2020
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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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Learning 3d human shape and pose from dense body parts
Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, and Zhenan Sun · 2020
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Birds of a feather: Capturing avian shape models from images
Yufu Wang, Nikos Kolotouros, Kostas Daniilidis, and Marc Badger · 2021
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Dove: Learning deformable 3d objects by watching videos
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, and Andrea Vedaldi · 2021
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BARC: Learning to regress 3d dog shape from images by exploiting breed information
Nadine Rueegg, Silvia Zuffi, Konrad Schindler, and J. Michael Black · 2022
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