SpatialEdit-500K

SpatialEdit-500K SpatialEdit-500K is a synthetic training dataset for fine-grained image spatial editing. It is built for learning geometry-aware edits such as object moving, object rotation, and camera viewpoint change. The dataset was introduced in the paper SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing. It is generated with a controllable rendering pipeline to provide structured spatial transformations at scale. Project Resources GitHub Repository:… See the full description on the dataset page:

Source: Hugging Face Hub (EasonXiao-888/SpatialEdit-500K). Metadata imported from the dataset’s Hub tags.