Training data for Uni-RS: A Spatially Faithful Unified Understanding and Generation Model for Remote Sensing (IJCAI 2026). [[Paper]](https://www.ijcai.org/proceedings/2026/231) [[Code]](https://github.com/zwy-Giser/Uni-RS) Unzip the three archives into one directory: One JSON object per line. Rows are aligned by index with the RSICap and VRSBench caption datasets. A plan contains SCENE (global scene), OBJ (object instances with a coarse position on a 3x3 grid: TopLeft, TopCenter,..., BottomRight, plus optional count and attribute) and REL (relations between objects) lines: One JSON object per line. Rows are aligned by index with the RSICap and VRSBench caption datasets.…
Independent publisher
WEIYU ZHANG
Weiyu-Giser
Models in Library0
Datasets in Library1
Models on Hugging Face—
Followers1
Compare the published evidence
This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Text to image.
Reported licenses: cc-by-nc-4.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.