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Image editing explainability

Coming soon

A supported image-editing explanation workflow is not yet implemented in XWhy.

Image editing differs from image classification because the target model produces a transformed image rather than a class score. An explanation therefore needs to connect changes in the source image, edit instruction, mask, or conditioning input to changes in the generated output.

Planned questions

Future image-editing explanations should help users examine:

  • which source-image regions influenced the edited output;
  • which words or phrases in an edit instruction had the strongest effect;
  • how an edit mask constrained or redirected generation;
  • whether unrelated regions were changed unexpectedly;
  • how stable an edit is across seeds or small input changes;
  • whether the explanation remains consistent across output-distance measures.

Planned model families

The section may include examples for:

  • Pix2Pix-style conditional image-to-image models;
  • instruction-guided image editors;
  • diffusion-based image-to-image systems;
  • inpainting and outpainting models;
  • domain-transfer and style-transfer systems.

Model-specific pages will be added only after the corresponding integration, tests, and reproducible outputs are available.

Next: Pix2Pix model examples.