A diffusion-based pipeline creates a 27M-annotation dataset of object placements that outperforms human annotations and baselines on image editing tasks, then distills it into a fast model.
arXiv preprint arXiv:2107.01889 (2021)
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CatalogStitch provides dimension-aware mask computation and occlusion-aware hybrid restoration to automate corrections in generative object compositing for catalog images.
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HiddenObjects: Scalable Diffusion-Distilled Spatial Priors for Object Placement
A diffusion-based pipeline creates a 27M-annotation dataset of object placements that outperforms human annotations and baselines on image editing tasks, then distills it into a fast model.
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CatalogStitch: Dimension-Aware and Occlusion-Preserving Object Compositing for Catalog Image Generation
CatalogStitch provides dimension-aware mask computation and occlusion-aware hybrid restoration to automate corrections in generative object compositing for catalog images.