PPR-2604.04198
Paper
DriveVA: Video Action Models are Zero-Shot Drivers
| id | |
|---|---|
| updated | |
| type | paper |
| title | DriveVA: Video Action Models are Zero-Shot Drivers |
| authors | Mengmeng Liu, Dian-Kun Zhang, Jiuming Liu, Jian-Feng Cui, Hong-Bin Xie, Guang Chen, Hangjun Ye, Michael Ying Yang, Francesco Nex, Hao Cheng |
| venue | arXiv 2026 |
| arxiv | 2604.04198 |
| doi | 10.48550/arXiv.2604.04198 |
| tier | 0 |
| lifecycle | EXTRACTED |
| epistemic | n/a |
| ingested | 2026-09-03 |
| version | arXiv:2604.04198 |
| source-hash | sha256:0000000000000000000000000000000000000000000000000000000000000000 |
| admitted-under | A2-direct-edge |
| admission-note | 本工作引用 G2DP 作参照——视频动作模型做零样本驱动的设定中，G2DP 代表『扩散 + 稠密引导』的规划思路。 |
| citation-count-s2 | 14 |
把视频动作模型当作零样本驱动器（Liu et al.）：以视频动作表征直接驱动规划，无需额外适配即可跨任务部署。
与 G2DP 的关系（PPR-2606.26017）：本工作引用 G2DP 作参照——视频动作模型做零样本驱动的设定中，G2DP 代表『扩散 + 稠密引导』的规划思路。
时间倒置：arXiv 号段 2026-04，早于 G2DP（2026-06）。
关联（1）
- PPR-2606.26017 G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance