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Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation
Large Vision-Language Models (VLMs) are increasingly being regarded as foundation models that can be instructed to solve diverse tasks by prompting, without task-specific training.
Outline-Guided Object Inpainting with Diffusion Models
We achieve that by creating variations of the available annotated object instances in a way that preserves the provided mask annotations, thereby resulting in new image-mask pairs to be added to the set of annotated images.
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