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How useful is photo-realistic rendering for visual learning?

How useful is photo-realistic rendering for visual learning?

26 March 2016
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
    3DH
    3DV
ArXivPDFHTML

Papers citing "How useful is photo-realistic rendering for visual learning?"

18 / 18 papers shown
Title
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
Zhaoliang Wan
Yonggen Ling
Senlin Yi
Lu Qi
Wangwei Lee
...
Xiao Teng
Peng Lu
Xu Yang
Ming Yang
Hui Cheng
41
4
0
31 Dec 2024
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
74
0
0
02 Dec 2024
Scaling Law of Sim2Real Transfer Learning in Expanding Computational
  Materials Databases for Real-World Predictions
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
Shunya Minami
Yoshihiro Hayashi
Stephen Wu
Kenji Fukumizu
Hiroki Sugisawa
Masashi Ishii
Isao Kuwajima
Kazuya Shiratori
Ryo Yoshida
AI4CE
16
0
0
07 Aug 2024
Prediction of Scene Plausibility
Prediction of Scene Plausibility
O. Nachmias
Ohad Fried
Ariel Shamir
3DV
15
0
0
02 Dec 2022
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic
  Synthetic Data Generation for the Manufacturing Industry
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry
Steven Moonen
Bram Vanherle
Joris de Hoog
T. Bourgana
A. Bey-Temsamani
Nick Michiels
11
14
0
25 Nov 2022
RGB-X Classification for Electronics Sorting
RGB-X Classification for Electronics Sorting
Abhimanyu Fnu
T. Zodage
Umesh Thillaivasan
Xinyue Lai
Rahul Chakwate
...
E. Oti
Ming Zhao
Ralph Boirum
Howie Choset
Matthew Travers
17
1
0
08 Sep 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
13
5
0
01 Aug 2022
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
27
12
0
25 Aug 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
115
0
21 Jan 2021
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
36
347
0
25 Sep 2019
Synthetic Data Generation and Adaption for Object Detection in Smart
  Vending Machines
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
Kai Wang
Fuyuan Shi
Wenqi Wang
Yibing Nan
Shiguo Lian
14
12
0
28 Apr 2019
Spatial Fusion GAN for Image Synthesis
Spatial Fusion GAN for Image Synthesis
Fangneng Zhan
Hongyuan Zhu
Shijian Lu
8
149
0
14 Dec 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
17
108
0
23 Oct 2018
On the Importance of Visual Context for Data Augmentation in Scene
  Understanding
On the Importance of Visual Context for Data Augmentation in Scene Understanding
Nikita Dvornik
Julien Mairal
Cordelia Schmid
24
84
0
06 Sep 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically
  Differentiable Renderer
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu
Michael Tao
Chun-Liang Li
Derek Nowrouzezahrai
Alec Jacobson
AAML
18
13
0
08 Aug 2018
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi
Ishan Misra
M. Hebert
11
617
0
04 Aug 2017
From Virtual to Real World Visual Perception using Domain Adaptation --
  The DPM as Example
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Antonio M. López
Jiaolong Xu
J. L. Gómez
David Vazquez
G. Ros
11
11
0
29 Dec 2016
Physically-Based Rendering for Indoor Scene Understanding Using
  Convolutional Neural Networks
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang
Shuran Song
Ersin Yumer
Manolis Savva
Joon-Young Lee
Hailin Jin
Thomas Funkhouser
AI4CE
SSL
3DV
3DPC
17
259
0
22 Dec 2016
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