ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.11621
  4. Cited By
Meta-Sim: Learning to Generate Synthetic Datasets

Meta-Sim: Learning to Generate Synthetic Datasets

25 April 2019
Amlan Kar
Aayush Prakash
Ming-Yu Liu
Eric Cameracci
Justin Yuan
Matt Rusiniak
David Acuna
Antonio Torralba
Sanja Fidler
ArXivPDFHTML

Papers citing "Meta-Sim: Learning to Generate Synthetic Datasets"

50 / 59 papers shown
Title
Continuous Locomotive Crowd Behavior Generation
Continuous Locomotive Crowd Behavior Generation
Inhwan Bae
Junoh Lee
Hae-Gon Jeon
31
0
0
07 Apr 2025
Generating Multimodal Driving Scenes via Next-Scene Prediction
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu
Haoyang Zhang
Tianwei Lin
Lichao Huang
Shujie Luo
Rui Wu
Congpei Qiu
Wei Ke
Tong Zhang
VGen
51
0
0
19 Mar 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model
Zinan Lin
Tadas Baltrusaitis
Wenyu Wang
Sergey Yekhanin
SyDa
91
1
0
08 Feb 2025
Analysis of Classifier Training on Synthetic Data for Cross-Domain
  Datasets
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets
Andoni Cortés
Clemente Rodríguez
G. Velez
Javier Barandiarán
Marcos Nieto
41
13
0
30 Oct 2024
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
Xiao Xia
Dan Zhang
Zibo Liao
Zhenyu Hou
Tianrui Sun
Jing Li
Ling Fu
Yuxiao Dong
AI4CE
LM&Ro
3DV
LLMAG
38
2
0
29 Oct 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
33
17
0
06 Aug 2024
UniGen: Unified Modeling of Initial Agent States and Trajectories for
  Generating Autonomous Driving Scenarios
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios
R. Mahjourian
Rongbing Mu
Valerii Likhosherstov
Paul Mougin
Xiukun Huang
Joao Messias
Shimon Whiteson
37
7
0
06 May 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
70
5
0
13 Mar 2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World
  Dexterous Manipulation
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Jun Wang
Yuzhe Qin
Kaiming Kuang
Yigit Korkmaz
Akhilan Gurumoorthy
Hao Su
Xiaolong Wang
43
19
0
22 Feb 2024
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
3DPC
70
12
0
19 Dec 2023
WinSyn: A High Resolution Testbed for Synthetic Data
WinSyn: A High Resolution Testbed for Synthetic Data
Tom Kelly
John C. Femiani
Peter Wonka
23
2
0
09 Oct 2023
Fake It Without Making It: Conditioned Face Generation for Accurate 3D
  Face Reconstruction
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction
William Rowan
P. Huber
Nick E. Pears
Andrew Keeling
DiffM
30
0
0
25 Jul 2023
Realistically distributing object placements in synthetic training data
  improves the performance of vision-based object detection models
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
Setareh Dabiri
Vasileios Lioutas
Berend Zwartsenberg
Yunpeng Liu
Matthew Niedoba
...
Dylan Green
Justice Sefas
J. Lavington
Frank D. Wood
Adam Scibior
35
0
0
24 May 2023
CabiNet: Scaling Neural Collision Detection for Object Rearrangement
  with Procedural Scene Generation
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
Adithyavairavan Murali
Arsalan Mousavian
Clemens Eppner
Adam Fishman
D. Fox
OCL
3DPC
LM&Ro
20
22
0
18 Apr 2023
Bent & Broken Bicycles: Leveraging synthetic data for damaged object
  re-identification
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
Luca Piano
F. G. Pratticó
Alessandro Sebastian Russo
Lorenzo Lanari
Lia Morra
Fabrizio Lamberti
34
1
0
16 Apr 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic
  Segmentation Using Diffusion Models
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
Weijia Wu
Yuzhong Zhao
Mike Zheng Shou
Hong Zhou
Chunhua Shen
45
140
0
21 Mar 2023
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with
  Class-Aware Cross-Domain Transformers
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers
R. Gong
Qin Wang
Dengxin Dai
Luc Van Gool
ViT
27
4
0
14 Dec 2022
MIME: Human-Aware 3D Scene Generation
MIME: Human-Aware 3D Scene Generation
Hongwei Yi
C. Huang
Shashank Tripathi
Lea Hering
Justus Thies
Michael J. Black
3DH
28
49
0
08 Dec 2022
Finding Differences Between Transformers and ConvNets Using
  Counterfactual Simulation Testing
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz
Sarah Adel Bargal
Cihang Xie
Kate Saenko
Stan Sclaroff
ViT
36
5
0
29 Nov 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar
  Scene
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
Animesh Karnewar
Oliver Wang
Tobias Ritschel
Niloy Mitra
30
12
0
27 Nov 2022
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet
Praveen Palanisamy
Sakshi Mishra
35
4
0
10 Nov 2022
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Jianwu Fang
C. Zhu
Pu Zhang
Hongkai Yu
Jianru Xue
38
16
0
02 Nov 2022
Synthetic Data Supervised Salient Object Detection
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu
Lin Wang
Wei Wang
Tengfei Shi
Chenglizhao Chen
Aimin Hao
Shuo Li
29
22
0
25 Oct 2022
Photo-realistic Neural Domain Randomization
Photo-realistic Neural Domain Randomization
Sergey Zakharov
Rares Ambrus
Vitor Campagnolo Guizilini
Wadim Kehl
Adrien Gaidon
33
9
0
23 Oct 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions
On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab
Michael I. Jordan
Eric Zhao
FedML
50
34
0
22 Oct 2022
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng
Quanyi Li
Zhenghao Peng
Shuhan Tan
Bolei Zhou
33
82
0
12 Oct 2022
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface
  Reconstruction
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction
Luobin Wang
Runlin Guo
Q. Vuong
Yuzhe Qin
Hao Su
Henrik I. Christensen
3DH
3DPC
25
17
0
06 Oct 2022
Unpaired Image Translation via Vector Symbolic Architectures
Unpaired Image Translation via Vector Symbolic Architectures
Justin D. Theiss
Jay Leverett
Daeil Kim
Aayush Prakash
19
26
0
06 Sep 2022
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position
  and Pose Metadata
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata
Yingzhe Shen
Yaesop Lee
H. Kwon
D. Conover
Shuvra S. Bhattacharyya
Nikolas Vale
Joshua D. Gray
G. J. Leong
Kenneth D. Evensen
Frank E. Skirlo
31
9
0
31 Aug 2022
Neural-Sim: Learning to Generate Training Data with NeRF
Neural-Sim: Learning to Generate Training Data with NeRF
Yunhao Ge
Harkirat Singh Behl
Lyne Tchapmi
Suriya Gunasekar
Neel Joshi
Ya-heng Song
Xin Wang
Laurent Itti
Vibhav Vineet
34
33
0
22 Jul 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation
  via Kinematics Gradients
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Niklas Hanselmann
Katrin Renz
Kashyap Chitta
Apratim Bhattacharyya
Andreas Geiger
29
87
0
28 Apr 2022
Attribute Descent: Simulating Object-Centric Datasets on the Content
  Level and Beyond
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond
Yue Yao
Liang Zheng
Xiaodong Yang
Milind Napthade
Tom Gedeon
26
17
0
28 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
144
0
04 Feb 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Daiqing Li
Huan Ling
Seung Wook Kim
Karsten Kreis
Adela Barriuso
Sanja Fidler
Antonio Torralba
36
103
0
12 Jan 2022
Leveraging Synthetic Data in Object Detection on Unmanned Aerial
  Vehicles
Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Benjamin Kiefer
D. Ott
A. Zell
31
44
0
22 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic
  Data
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Rameswar Panda
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
26
33
0
30 Nov 2021
Self-Supervised Object Detection via Generative Image Synthesis
Self-Supervised Object Detection via Generative Image Synthesis
Siva Karthik Mustikovela
Shalini De Mello
Aayush Prakash
Umar Iqbal
Sifei Liu
Thu Nguyen-Phuoc
Carsten Rother
Jan Kautz
17
2
0
19 Oct 2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou
Amlan Kar
Maria Shugrina
Karsten Kreis
Andreas Geiger
Sanja Fidler
3DV
ViT
33
148
0
07 Oct 2021
Fake It Till You Make It: Face analysis in the wild using synthetic data
  alone
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
Erroll Wood
Tadas Baltruvsaitis
Charlie Hewitt
Sebastian Dziadzio
Matthew W. Johnson
V. Estellers
T. Cashman
Jamie Shotton
CVBM
19
260
0
30 Sep 2021
Unconditional Scene Graph Generation
Unconditional Scene Graph Generation
Sarthak Garg
Helisa Dhamo
Azade Farshad
Sabrina Musatian
Nassir Navab
F. Tombari
15
23
0
12 Aug 2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain
  Randomization Reinforcement Learning
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
Haoyi Niu
Jianming Hu
Zheyu Cui
Yi Zhang
36
16
0
25 Jul 2021
Synthetic Data Are as Good as the Real for Association Knowledge
  Learning in Multi-object Tracking
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking
Yuchi Liu
Zhongdao Wang
Xiangxin Zhou
Liang Zheng
3DPC
39
1
0
30 Jun 2021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
Yingjie Wang
Qi Mao
Hanqi Zhu
Jiajun Deng
Yu Zhang
Jianmin Ji
Houqiang Li
Yanyong Zhang
3DPC
48
139
0
24 Jun 2021
3DB: A Framework for Debugging Computer Vision Models
3DB: A Framework for Debugging Computer Vision Models
Guillaume Leclerc
Hadi Salman
Andrew Ilyas
Sai H. Vemprala
Logan Engstrom
...
Pengchuan Zhang
Shibani Santurkar
Greg Yang
Ashish Kapoor
A. Madry
40
40
0
07 Jun 2021
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Aidan Boyd
Kevin W. Bowyer
A. Czajka
AAML
29
25
0
07 May 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation
DriveGAN: Towards a Controllable High-Quality Neural Simulation
S. Kim
Jonah Philion
Antonio Torralba
Sanja Fidler
24
108
0
30 Apr 2021
Occluded Video Instance Segmentation: A Benchmark
Occluded Video Instance Segmentation: A Benchmark
Jiyang Qi
Yan Gao
Yao Hu
Xinggang Wang
Xiaoyu Liu
Xiang Bai
Serge Belongie
Alan Yuille
Philip Torr
S. Bai
VOS
VLM
27
135
0
02 Feb 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and
  Generation
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
25
23
0
07 Jan 2021
Self-Supervised Real-to-Sim Scene Generation
Self-Supervised Real-to-Sim Scene Generation
Aayush Prakash
Shoubhik Debnath
Jean-Francois Lafleche
Eric Cameracci
Gavriel State
Stan Birchfield
M. Law
35
26
0
30 Nov 2020
From Real to Synthetic and Back: Synthesizing Training Data for
  Multi-Person Scene Understanding
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
Igor Kviatkovsky
Nadav Bhonker
Gérard Medioni
33
3
0
03 Jun 2020
12
Next