# RainBowLuoCS/DiffusionTrack

<https://repo.masters-masters.com/en/repos/RainBowLuoCS/DiffusionTrack>

[Home](https://repo.masters-masters.com/en) › [RainBowLuoCS](https://repo.masters-masters.com/en/owners/RainBowLuoCS) › [DiffusionTrack](https://repo.masters-masters.com/en/repos/RainBowLuoCS/DiffusionTrack)

RainBowLuoCS/DiffusionTrack has 205 stars on GitHub. Its RepoMasters card: Prototype tier. \[AAAI 2024\] DiffusionTrack: Diffusion Model For Multi-Object…

| Field | Value |
| --- | --- |
| Owner | [RainBowLuoCS](https://repo.masters-masters.com/en/owners/RainBowLuoCS) |
| Stars | 205 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | diffusion, multi-object-tracking, object-detection, tracking |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RainBowLuoCS/DiffusionTrack](https://github.com/RainBowLuoCS/DiffusionTrack) |

## Repository

\[AAAI 2024\] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noise-to-tracking diffusion process.

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.