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DragonFlow v0 is released by the DragonFlow authors. No license is granted by default. Access is reviewed by hand and granted for the stated purpose only. Third-party source data in this repository remains under its original terms.
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DragonFlow v0
Pretraining data of the DragonFlow project
This is the official DragonFlow v0 repository, published by the DragonFlow authors. It was first published on 2026-09-24. Copies hosted anywhere else are not authorized.
DragonFlow is a video world-action model for aerial navigation that generates RGB video and optical flow jointly. The paper is under review; author names and the citation will be added after the review.
Contents
| Path | What it is |
|---|---|
spatialvid-clean/, sekai_walking-clean/, sekai_real_drone/, sekai_game/, dl3dv-60s/, miradata-clean/ |
Pretraining clips: 512×288, 8 fps, center-cropped 16:9 video with dense optical flow, camera intrinsics and poses (*.tar shards + manifest.jsonl + lists/) |
instructions/ |
Language instructions for the pretraining clips |
uavon/train/ |
Early UAV-ON training episodes (superseded by later DragonFlow UAV-ON releases) |
Every shard is listed with its SHA-256 in the manifest of its folder.
What is ours, and what is not
DragonFlow contributions: clip selection and cleaning, the 512×288 / 8 fps processing, the optical flow and its encoding, the instructions and labels, and the expert trajectories.
Third-party sources: the source videos come from SpatialVID, Sekai, DL3DV and MiraData. The UAV-ON scenes come from the UAV-ON benchmark. The optical flow is computed with UniMatch. Each of these keeps its own license and terms, and those terms apply in addition to ours.
Terms
All rights reserved; see LICENSE. Use requires approved access through the form above, for the stated purpose only. Redistribution is not permitted.
Citation
The paper is under review. Please contact us through the access request until the citation is available.
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