Timezone: »
Synthetic visual data can provide practically infinite diversity and rich labels, while avoiding ethical issues with privacy and bias. However, for many tasks, current models trained on synthetic data generalize poorly to real data. The task of 3D human pose estimation is a particularly interesting example of this sim2real problem, because learning-based approaches perform reasonably well given real training data, yet labeled 3D poses are extremely difficult to obtain in the wild, limiting scalability. In this paper, we show that standard neural-network approaches, which perform poorly when trained on synthetic RGB images, can perform well when the data is pre-processed to extract cues about the person’s motion, notably as optical flow and the motion of 2D keypoints. Therefore, our results suggest that motion can be a simple way to bridge a sim2real gap when video is available. We evaluate on the 3D Poses in the Wild dataset, the most challenging modern benchmark for 3D pose estimation, where we show full 3D mesh recovery that is on par with state-of-the-art methods trained on real 3D sequences, despite training only on synthetic humans from the SURREAL dataset.
Author Information
Carl Doersch (DeepMind)
Andrew Zisserman (DeepMind & University of Oxford)
More from the Same Authors
-
2021 : PASS: An ImageNet replacement for self-supervised pretraining without humans »
Yuki Asano · Christian Rupprecht · Andrew Zisserman · Andrea Vedaldi -
2021 : PASS: An ImageNet replacement for self-supervised pretraining without humans »
Yuki Asano · Christian Rupprecht · Andrew Zisserman · Andrea Vedaldi -
2021 : Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs »
Dan Rosenbaum · Marta Garnelo · Michal Zielinski · Charles Beattie · Ellen Clancy · Andrea Huber · Pushmeet Kohli · Andrew Senior · John Jumper · Carl Doersch · S. M. Ali Eslami · Olaf Ronneberger · Jonas Adler -
2021 : 3D Spinal Column Segmentation with Single Plane 2D-Projected Annotations »
Rhydian Windsor · Amir Jamaludin · Timor Kadir · Andrew Zisserman -
2022 Poster: Segmenting Moving Objects via an Object-Centric Layered Representation »
Junyu Xie · Weidi Xie · Andrew Zisserman -
2023 Poster: Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion »
Yash Bhalgat · Iro Laina · João Henriques · Andrea Vedaldi · Andrew Zisserman -
2023 Poster: Improving Category Discovery When No Representation Rules Them All »
Sagar Vaze · Andrea Vedaldi · Andrew Zisserman -
2023 Poster: Perception Test: A Diagnostic Benchmark for Multimodal Video Models »
Viorica Patraucean · Lucas Smaira · Ankush Gupta · Adria Recasens · Larisa Markeeva · Dylan Banarse · Skanda Koppula · joseph heyward · Mateusz Malinowski · Yi Yang · Carl Doersch · Tatiana Matejovicova · Yury Sulsky · Antoine Miech · Alexandre Fréchette · Hanna Klimczak · Raphael Koster · Junlin Zhang · Stephanie Winkler · Yusuf Aytar · Simon Osindero · Dima Damen · Andrew Zisserman · Joao Carreira -
2022 Spotlight: Lightning Talks 6A-3 »
Junyu Xie · Chengliang Zhong · Ali Ayub · Sravanti Addepalli · Harsh Rangwani · Jiapeng Tang · Yuchen Rao · Zhiying Jiang · Yuqi Wang · Xingzhe He · Gene Chou · Ilya Chugunov · Samyak Jain · Yuntao Chen · Weidi Xie · Sumukh K Aithal · Carter Fendley · Lev Markhasin · Yiqin Dai · Peixing You · Bastian Wandt · Yinyu Nie · Helge Rhodin · Felix Heide · Ji Xin · Angela Dai · Andrew Zisserman · Bi Wang · Xiaoxue Chen · Mayank Mishra · ZHAO-XIANG ZHANG · Venkatesh Babu R · Justus Thies · Ming Li · Hao Zhao · Venkatesh Babu R · Jimmy Lin · Fuchun Sun · Matthias Niessner · Guyue Zhou · Xiaodong Mu · Chuang Gan · Wenbing Huang -
2022 Spotlight: Segmenting Moving Objects via an Object-Centric Layered Representation »
Junyu Xie · Weidi Xie · Andrew Zisserman -
2022 Poster: Associating Objects and Their Effects in Video through Coordination Games »
Erika Lu · Forrester Cole · Weidi Xie · Tali Dekel · Bill Freeman · Andrew Zisserman · Michael Rubinstein -
2022 Poster: Flamingo: a Visual Language Model for Few-Shot Learning »
Jean-Baptiste Alayrac · Jeff Donahue · Pauline Luc · Antoine Miech · Iain Barr · Yana Hasson · Karel Lenc · Arthur Mensch · Katherine Millican · Malcolm Reynolds · Roman Ring · Eliza Rutherford · Serkan Cabi · Tengda Han · Zhitao Gong · Sina Samangooei · Marianne Monteiro · Jacob L Menick · Sebastian Borgeaud · Andy Brock · Aida Nematzadeh · Sahand Sharifzadeh · Mikołaj Bińkowski · Ricardo Barreira · Oriol Vinyals · Andrew Zisserman · Karén Simonyan -
2022 Poster: TAP-Vid: A Benchmark for Tracking Any Point in a Video »
Carl Doersch · Ankush Gupta · Larisa Markeeva · Adria Recasens · Lucas Smaira · Yusuf Aytar · Joao Carreira · Andrew Zisserman · Yi Yang -
2021 : Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs »
Dan Rosenbaum · Marta Garnelo · Michal Zielinski · Charles Beattie · Ellen Clancy · Andrea Huber · Pushmeet Kohli · Andrew Senior · John Jumper · Carl Doersch · S. M. Ali Eslami · Olaf Ronneberger · Jonas Adler -
2020 Poster: Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning »
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko -
2020 Poster: CrossTransformers: spatially-aware few-shot transfer »
Carl Doersch · Ankush Gupta · Andrew Zisserman -
2020 Oral: Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning »
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko -
2020 Poster: Self-supervised Co-Training for Video Representation Learning »
Tengda Han · Weidi Xie · Andrew Zisserman -
2020 Poster: Self-Supervised MultiModal Versatile Networks »
Jean-Baptiste Alayrac · Adria Recasens · Rosalia Schneider · Relja Arandjelović · Jason Ramapuram · Jeffrey De Fauw · Lucas Smaira · Sander Dieleman · Andrew Zisserman -
2019 : Carl Doersch, Raquel Urtasun, Sanja Fidler moderated by Natalia Neverova »
Raquel Urtasun · Sanja Fidler · Natalia Neverova · Ilija Radosavovic · Carl Doersch -
2019 : Carl Doersch - On Self-Supervised Learning for Vision »
Carl Doersch -
2019 Poster: Unsupervised Learning of Object Keypoints for Perception and Control »
Tejas Kulkarni · Ankush Gupta · Catalin Ionescu · Sebastian Borgeaud · Malcolm Reynolds · Andrew Zisserman · Volodymyr Mnih -
2018 Poster: Learning to Navigate in Cities Without a Map »
Piotr Mirowski · Matt Grimes · Mateusz Malinowski · Karl Moritz Hermann · Keith Anderson · Denis Teplyashin · Karen Simonyan · koray kavukcuoglu · Andrew Zisserman · Raia Hadsell -
2015 Poster: Spatial Transformer Networks »
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu -
2015 Spotlight: Spatial Transformer Networks »
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu -
2014 Poster: Two-Stream Convolutional Networks for Action Recognition in Videos »
Karen Simonyan · Andrew Zisserman -
2014 Spotlight: Two-Stream Convolutional Networks for Action Recognition in Videos »
Karen Simonyan · Andrew Zisserman -
2013 Poster: Deep Fisher Networks for Large-Scale Image Classification »
Karen Simonyan · Andrea Vedaldi · Andrew Zisserman -
2013 Poster: Mid-level Visual Element Discovery as Discriminative Mode Seeking »
Carl Doersch · Abhinav Gupta · Alexei A Efros -
2013 Spotlight: Deep Fisher Networks for Large-Scale Image Classification »
Karen Simonyan · Andrea Vedaldi · Andrew Zisserman -
2011 Poster: Pylon Model for Semantic Segmentation »
Victor Lempitsky · Andrea Vedaldi · Andrew Zisserman -
2010 Poster: Simultaneous Object Detection and Ranking with Weak Supervision »
Matthew B Blaschko · Andrea Vedaldi · Andrew Zisserman -
2010 Spotlight: Learning To Count Objects in Images »
Victor Lempitsky · Andrew Zisserman -
2010 Poster: Learning To Count Objects in Images »
Victor Lempitsky · Andrew Zisserman -
2009 Poster: Segmenting Scenes by Matching Image Composites »
Bryan C Russell · Alexei A Efros · Josef Sivic · Bill Freeman · Andrew Zisserman -
2009 Poster: Structured output regression for detection with partial truncation »
Andrea Vedaldi · Andrew Zisserman -
2008 Poster: SDL: Supervised Dictionary Learning »
Julien Mairal · Francis Bach · Jean A Ponce · Guillermo Sapiro · Andrew Zisserman -
2007 Spotlight: Learning Visual Attributes »
Vittorio Ferrari · Andrew Zisserman -
2007 Poster: Learning Visual Attributes »
Vittorio Ferrari · Andrew Zisserman -
2006 Poster: Bayesian Image Super-resolution, Continued »
Lyndsey C Pickup · David Capel · Stephen J Roberts · Andrew Zisserman -
2006 Spotlight: Bayesian Image Super-resolution, Continued »
Lyndsey C Pickup · David Capel · Stephen J Roberts · Andrew Zisserman