InhwanBae/SingularTrajectory
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
This project helps you predict human movement patterns across various scenarios, such as pedestrian flow in public spaces. It takes historical trajectory data as input and generates likely future paths, even with limited observations. The system is designed for researchers or practitioners working with crowd analysis, robotics, or surveillance applications.
145 stars. No commits in the last 6 months.
Use this if you need a robust, general-purpose model for predicting diverse human movements in crowded environments or for tasks with varying data availability.
Not ideal if you require real-time, ultra-low-latency predictions for safety-critical autonomous systems, as the focus is on accuracy over speed for research benchmarks.
Stars
145
Forks
11
Language
Python
License
—
Category
Last pushed
Jul 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/InhwanBae/SingularTrajectory"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
InhwanBae/Crowd-Behavior-Generation
Official Code for "Continuous Locomotive Crowd Behavior Generation (CVPR 2025)"
DSL-Lab/MoFlow
[CVPR 2025] MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum...
XinGP/DGFNet
[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
qiyan98/social-nce-stgcnn
[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware...
InhwanBae/GraphTERN
Official Code for "A Set of Control Points Conditioned Pedestrian Trajectory Prediction (AAAI 2023)"