aiozai/AeroScene
AeroScene: Progressive Scene Synthesis for Aerial Robotics (ICRA 2026) Nghia Vu [Project Page] [Paper] Abstract Generative models have shown substantial impact across multiple domains, their potential for scene synthesis remains underexplored in robotics. This gap is more evident in drone simulators, where simulation environments still rely heavily on manual efforts, which are time-consuming to create and difficult to scale. In this… See the full description on the dataset page: https://huggingface.co/datasets/aiozai/AeroScene.
| Author / organization | aiozai |
|---|---|
| Downloads | 199 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 April 2026 |
| Last updated at source | 13 April 2026 |
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199 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: AeroScene: Progressive Scene Synthesis for Aerial Robotics (ICRA 2026) Nghia Vu [Project Page] [Paper] Abstract Generative models have shown substantial impact across multiple domains, their potential for scene synthesis remains underexplor → AeroScene: Progressive Scene Synthesis for Aerial Robotics (ICRA 2026) Nghia Vu [Project Page] [Paper] Abstract Generative models have shown substantial impact across multiple domains, their potential for scene synthesis remains underexplor
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