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Crowd simulation holds crucial applications in various domains, such as urban planning, architectural design, and traffic arrangement.
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Harmonic Networks: Deep Translation and Rotation Equivariance
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Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
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Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance
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Denoising Diffusion Probabilistic Models
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Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
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Learning to Simulate Complex Physics with Graph Networks
Pedestrian Simulation: A Review
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E (n) equivariant Graph Neural Networks
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Topics in Optimal Transportation , volume 58
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Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
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Social Physics
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Sanchez-Gonzalez, A.; Godwin, J.; Pfaff, T.; Ying, R.; Leskovec, J.; and Battaglia, P. 2020 · 2020
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A Review on Crowd Simulation and Modeling
Yang, S.; Li, T.; Gong, X.; Peng, B.; and Hu, J. 2020 · 2020
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Personalized Trajectory Prediction via Distribution Discrimination
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MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
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Vector Neurons: A General Framework for SO(3)-Equivariant Networks
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Diffusion Models Beat GANs on Image Synthesis
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Physics-informed Machine Learning
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Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches
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Tevet, G.; Raab, S.; Gordon, B.; Shafir, Y.; Cohen-Or, D.; and Bermano, A. H. 2022 · 2022
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Geodiff: A Geometric Diffusion Model for Molecular Conformation Generation
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Human Trajectory Prediction via Neural Social Physics
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Physics-infused Machine Learning for Crowd Simulation
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Leapfrog Diffusion Model for Stochastic Trajectory Prediction
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Spatio-Temporal Diffusion Point Processes
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Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion
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