# DSL-Lab/MoFlow

<https://repo.masters-masters.com/en/repos/DSL-Lab/MoFlow>

[Home](https://repo.masters-masters.com/en) › [DSL-Lab](https://repo.masters-masters.com/en/owners/DSL-Lab) › [MoFlow](https://repo.masters-masters.com/en/repos/DSL-Lab/MoFlow)

DSL-Lab/MoFlow has 127 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR 2025\] MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via…

| Field | Value |
| --- | --- |
| Owner | [DSL-Lab](https://repo.masters-masters.com/en/owners/DSL-Lab) |
| Stars | 127 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | diffusion-distillation, flow-matching, human-motion-prediction, one-step-diffusion-model, multi-agent |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DSL-Lab/MoFlow](https://github.com/DSL-Lab/MoFlow) |

## Repository

\[CVPR 2025\] MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation Distillation

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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