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Synthetic Data357 papers Synthetic Data233 papers Synthetic Data Augmentation155 papers Synthetic Dataset54 papers Synthetic Tabular Data42 papers Synthetic Training Data33 papers

721–750 of 2,587

Papers

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics
Jun 2, 2026Sicong Gao, Maurice Pagnucco, Tomasz Bednarz +1Nvidia Isaac Sim Scalable Robot Learning
A Nonmonotone Gradient-Based Algorithm for Symmetric Nonnegative Matrix Factorization and Graph Clustering
Jun 1, 2026Ryan Swart, Johannes BrustNonnegative Matrix Factorization Proximal Gradient Descent
Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
Jun 1, 2026Yiming Wang, Baiqi Wu, Qingming Li +3Face Forgery Detection Adversarial Examples
Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate
Jun 1, 2026Marc Pinet, Julien Cumin, Samuel Berlemont +1Time-Series Anomaly Detection Anomaly
Position: Good Embodied Reward Models Need Bad Behavior Data
May 31, 2026Ran Tian, Yilin Wu, Andrea BajcsyScalable Robot Data Synthesis
The Representation-Rationalizability Tradeoff in Reward Learning
May 29, 2026Jing Dong, Yaoliang Yu, Pascal PourpartPairwise Preferences Rationality
When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework
May 29, 2026Dylan Steiner, Gustavo Arango-Argoty, Gerald Sun +1Multimodal Clinical Data Multimodal Classification
Topologically Consistent Multi-view 3D Head Reconstruction via Coarse-Guided Layered Surface Sampling
May 29, 2026Timo Bolkart, Daoye Wang, Prashanth ChandranAvatar Reconstruction Feature Matching
Conformal Reliability: A New Evaluation Metric for Conditional Generation
May 29, 2026Yachen Gao, Xinwei Sun, Yikai Wang +4Conformal Prediction Evaluation Metrics
YoCausal: How Far is Video Generation from World Model? A Causality Perspective
May 28, 2026You-Zhe Xie, Yu-Hsuan Li, Jie-Ying Lee +3Causal Reasoning World Models
Reducing Experimental Testing in Space Propulsion Film Cooling Analyses by Pixelwise Generative Image Interpolation
May 28, 2026Adam T. Müller, Philipp J. Teuffel, Konstantin Manassis +1Inertial Confinement Fusion Thermal Imaging
When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
May 28, 2026Yang Zhang, Xiukun Wei, Xueru ZhangPreference Alignment Data-Curation
Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach
May 27, 2026Anderson AugusmaEmotion Recognition Group
EventShiftFlow: Towards Hardware-efficient FPGA-based Flow Estimation
May 27, 2026Arianna Alonso Bizzi, Fernando Cladera, C. J. TaylorMotion Estimation Vision Sensors
Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
May 27, 2026Hanjia Gao, Hanwen Ye, Qing Nie +1Topic Modeling Hypergraphs
Counterfactually Fair Regression via Optimal Transport
May 27, 2026M. Generali Lince, S. Gaucher, J-J. Vie +1Causal Reasoning Optimal Transport
From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models
May 26, 2026Yuchen Liang, Ness Shroff, Yingbin LiangDiffusion Sampling Diffusion Processes
The Role of Causal Features in Strategic Classification for Robustness and Alignment
May 26, 2026Antonio Gois, Sophia Gunluk, Nir Rosenfeld +3Causal Reasoning Credit Risk Prediction
Gaussian Process-based learning with new MCMC-based implementation of Wishart prior on correlation matrix
May 26, 2026Kane Warrior, Dalia ChakrabartyGaussian Process Covariance Estimation
Can We Hear from Events? Generating Speech from Event Camera
May 26, 2026Jingping Fang, Lin Chen, Chenyang Xu +3Co-Speech Gesture Generation Joint Audio-Video Generation
NightSight: Passive Computation for Navigation in Dark Using Events
May 25, 2026Deepak Singh, Brijan Vaghasiya, Shreyas Khobragade +1Aerial Robots Autonomous Navigation
AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond
May 25, 2026Haiming Zhang, Junfei Zhou, Feng Jiang +6Controllable Video Generation Autonomous Driving
GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation
May 25, 2026Sifan Li, Yujun Cai, Hongkai Chen +1Scalable Vector Graphic Sketches
DexSIM: Real-time Dexterous Simulation with Unified Causal Video Diffusion
May 23, 2026Adam LeeZero-Shot Sim-To-Real Transfer Generalizable Robotic Manipulations
An Open-Source Training Dataset for Foundation Models for Black-box Optimization
May 22, 2026Aaron Klein, Herilalaina Rakotoarison, Luca Thale-Bombien +1Black-Box Optimization Benchmark Datasets
DefocusTrackerAI -- A Generalized Framework for the Automatic Detection of Defocused Particle Images
May 22, 2026Gonçalo Coutinho, Ana S. Moita, António L. N. Moreira +1Deep Learning Framework Automatic Identification System
Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance
May 21, 2026Xiang Ji, Guixu Lin, Zhengwei Yin +2Motion Blur Dual-Stream
Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series
May 20, 2026Andi XuAlgorithm Auditing Time Series
Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task
May 20, 2026Aashish Dhawan, Christopher Driggers-Ellis, Dzmitry Kasinets +2Video Captioning Machine Translation Models
Miller-Index-Based Latent Crystallographic Fracture Plane Reasoning and generation with Vision-Language Models
May 19, 2026Qinwu Xu, Xiaofu Ma, Yifan JiangCrystallographic Plane Indices Latent Variable

Jun 2, 2026 · cs.ROJ/K move · Enter open · S save

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics

Sicong Gao, Maurice Pagnucco, Tomasz Bednarz, Yang Song

School of Computer Science and Engineering, The University of New South Wales · NVIDIA USA

Simulation has become a core infrastructure for robotics research. Unlike previous simulators, NVIDIA Isaac Sim leverages GPU acceleration to enable large-scale parallel training and physics-accurate modeling. Its synthetic data generation pipeline alleviates the scarcity of high-quality training data, supporting data-driven robot learning and large-scale simulation-centric experimentation. However, existing surveys often treat it as one simulator among many, without a systematic analysis of its architectural characteristics, usage patterns, and limitations. This survey reviews Isaac Sim from system and application perspectives, outlining its architecture and comparing it with widely used simulators. We analyze representative studies across five major domains and summarize common usage patterns, particularly in data generation and high-fidelity simulation. We also outline key future directions and challenges, including physics open-world learning, simulation-centric training and practical usability constraints.

Nvidia Isaac Sim Scalable Robot Learning Robotics Autonomous Driving Simulation Scalability

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