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Learning from Synthetic Humans

Learning from Synthetic Humans

5 January 2017
Gül Varol
Javier Romero
Xavier Martin
Naureen Mahmood
Michael J. Black
Ivan Laptev
Cordelia Schmid
    3DH
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Papers citing "Learning from Synthetic Humans"

20 / 20 papers shown
Title
The Role of Video Generation in Enhancing Data-Limited Action Understanding
The Role of Video Generation in Enhancing Data-Limited Action Understanding
Wei Li
Dezhao Luo
Dongbao Yang
Zhenhang Li
Weiping Wang
Yu Zhou
DiffM
VGen
267
0
0
26 May 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
125
1
0
03 Mar 2025
FOCUS - Multi-View Foot Reconstruction From Synthetically Trained Dense Correspondences
Oliver Boyne
R. Cipolla
3DH
3DV
105
0
0
10 Feb 2025
Improving Object Detection by Modifying Synthetic Data with Explainable AI
Improving Object Detection by Modifying Synthetic Data with Explainable AI
Nitish Mital
Simon Malzard
Richard Walters
Celso M. De Melo
Raghuveer Rao
Victoria Nockles
123
0
0
02 Dec 2024
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan Deandres-Tame
Ruben Tolosana
Pietro Melzi
R. Vera-Rodríguez
Minchul Kim
...
Bernardo Biesseck
Pedro Vidal
Luiz Coelho
Roger Granada
David Menotti
142
2
0
02 Dec 2024
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
Aoru Xue
Yiming Ren
Zining Song
Mao Ye
X. Zhu
Yuexin Ma
78
0
0
07 Nov 2024
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Che Liu
Zhongwei Wan
Haozhe Wang
Yinda Chen
T. Qaiser
Chen Jin
Fariba Yousefi
Nikolay Burlutskiy
Rossella Arcucci
VLM
SyDa
LM&MA
MedIm
110
2
0
17 Oct 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Eyal Michaeli
Ohad Fried
81
1
0
20 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep
Nikhil Singh
83
1
0
09 Jun 2024
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras
Helge Rhodin
Christian Richardt
Dan Casas
Eldar Insafutdinov
Mohammad Shafiei
Hans-Peter Seidel
Bernt Schiele
Christian Theobalt
EgoV
58
101
0
23 Sep 2016
Learning camera viewpoint using CNN to improve 3D body pose estimation
Learning camera viewpoint using CNN to improve 3D body pose estimation
Mona Fathollahi Ghezelghieh
R. Kasturi
Sudeep Sarkar
3DH
44
54
0
18 Sep 2016
Single-Image Depth Perception in the Wild
Single-Image Depth Perception in the Wild
Weifeng Chen
Z. Fu
Dawei Yang
Jia Deng
MDE
100
520
0
13 Apr 2016
Synthesizing Training Images for Boosting Human 3D Pose Estimation
Synthesizing Training Images for Boosting Human 3D Pose Estimation
Wenzheng Chen
Huan Wang
Yangyan Li
Hao Su
Zhenhua Wang
Changhe Tu
Dani Lischinski
Daniel Cohen-Or
Baoquan Chen
3DH
89
292
0
10 Apr 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
119
5,032
0
22 Mar 2016
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
119
1,319
0
10 Nov 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
99
737
0
21 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
311
4,177
0
26 Apr 2015
Deep Convolutional Neural Fields for Depth Estimation from a Single
  Image
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
Fayao Liu
Chunhua Shen
Guosheng Lin
MDE
180
891
0
24 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
209
2,680
0
18 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
233
4,059
0
09 Jun 2014
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