MediaBrain-SJTU/LED
[CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction
This project helps predict multiple possible future paths for moving objects or people, like athletes in a game. It takes historical movement data as input and produces diverse, real-time predictions of where they might go next. This tool is for researchers and practitioners working on systems that need to anticipate complex, uncertain movements.
208 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately predict several plausible future trajectories for agents in dynamic environments, such as sports analytics or autonomous systems.
Not ideal if your application requires only a single, deterministic prediction or if you don't have GPU resources available for training and inference.
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Last pushed
Oct 06, 2023
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