Data to 7 Oct 2026

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

arXiv 1803.10892 ↗First posted 29 Mar 2018cs.CVcited by 687

Not on the map. Why?

Cited by 43 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments. This is challenging because human motion is inherently multimodal: given a history of human motion paths, there are many socially plausible ways that people could move in the future. We tackle this problem by combining tools from sequence prediction and generative adversarial networks: a recurrent sequence-to-sequence model observes motion histories and predicts future behavior, using a novel pooling mechanism to aggregate information across people. We predict socially plausible futures by training adversarially against a recurrent discriminator, and encourage diverse predictions with a novel variety loss. Through experiments on several datasets we demonstrate that our approach outperforms prior work in terms of accuracy, variety, collision avoidance, and computational complexity.

Key facts. Cited by 687 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Mar 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 142; 2022: 110; 2023: 118; 2024: 129; 2025: 107; 2026: 81.

687 papers.

Sort:

By area:

2021AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecastingcited by 327
2021DenseTNT: End-to-end Trajectory Prediction from Dense Goal Setscited by 292
2022Wayformer: Motion Forecasting via Simple & Efficient Attention Networkscited by 279
2022Motion Transformer with Global Intention Localization and Local Movement Refinementcited by 267
2021MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Predictioncited by 246
2021Multimodal Motion Prediction with Stacked Transformerscited by 207
2021Stochastic Scene-Aware Motion Predictioncited by 203
2022Stochastic Trajectory Prediction via Motion Indeterminacy Diffusioncited by 184
2021Scene Transformer: A unified architecture for predicting multiple agent trajectoriescited by 165
2023MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Queryingcited by 139
2023Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusioncited by 137
2023Leapfrog Diffusion Model for Stochastic Trajectory Predictioncited by 129

38 more

2022GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoningcited by 128
2022ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queriescited by 116
2021LaneRCNN: Distributed Representations for Graph-Centric Motion Forecastingcited by 112
2021Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversalscited by 112
2022HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encodingcited by 109
2021THOMAS: Trajectory Heatmap Output with learned Multi-Agent Samplingcited by 101
2021Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Taskscited by 100
2021SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Predictioncited by 97
2023EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoningcited by 97
2021SAGA: Stochastic Whole-Body Grasping with Contactcited by 89
2022Remember Intentions: Retrospective-Memory-based Trajectory Predictioncited by 86
2023MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Trackingcited by 86
2022BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Predictioncited by 82
2022M2I: From Factored Marginal Trajectory Prediction to Interactive Predictioncited by 81
2023HumanMAC: Masked Motion Completion for Human Motion Predictioncited by 81
2022BITS: Bi-level Imitation for Traffic Simulationcited by 80
2022PoseGPT: Quantization-based 3D Human Motion Generation and Forecastingcited by 78
2022ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generationcited by 77
2022Human Trajectory Prediction via Neural Social Physicscited by 66
2022SocialVAE: Human Trajectory Prediction using Timewise Latentscited by 65
2021LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agentscited by 64
2023MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Trackingcited by 64
2021Learning to Predict Vehicle Trajectories with Model-based Planningcited by 63
2021Multi-Person 3D Motion Prediction with Multi-Range Transformerscited by 63
2022ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planningcited by 63
2021Stepwise Goal-Driven Networks for Trajectory Predictioncited by 62
2021MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Predictioncited by 61
2021Trajectory Prediction with Latent Belief Energy-Based Modelcited by 60
2021A Survey of Deep RL and IL for Autonomous Driving Policy Learningcited by 59
2022MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Predictioncited by 59
2021LOKI: Long Term and Key Intentions for Trajectory Predictioncited by 57
2021TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wildcited by 52
2022Adaptive Trajectory Prediction via Transferable GNNcited by 51
2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 50
2023LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraintscited by 50
2022GANet: Goal Area Network for Motion Forecastingcited by 49
2021On Exposing the Challenging Long Tail in Future Prediction of Traffic Actorscited by 48
2023Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Predictioncited by 47

50 most cited of 687 All 687 (JSON)