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ImageEye: Batch Image Processing Using Program Synthesis
- Publication Year :
- 2023
-
Abstract
- This paper presents a new synthesis-based approach for batch image processing. Unlike existing tools that can only apply global edits to the entire image, our method can apply fine-grained edits to individual objects within the image. For example, our method can selectively blur or crop specific objects that have a certain property. To facilitate such fine-grained image editing tasks, we propose a neuro-symbolic domain-specific language (DSL) that combines pre-trained neural networks for image classification with other language constructs that enable symbolic reasoning. Our method can automatically learn programs in this DSL from user demonstrations by utilizing a novel synthesis algorithm. We have implemented the proposed technique in a tool called ImageEye and evaluated it on 50 image editing tasks. Our evaluation shows that ImageEye is able to automate 96% of these tasks.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2304.03253
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1145/3591248