Papers by Davit Abrahamyan

1 papers
How Do Inpainting Artifacts Propagate to Language? (2026.acl-short)

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Challenge: Figure 1 shows representative examples of visual artifacts introduced by diffusion-based inpainting . despite visually plausible reconstructions, localized inpainding artifactors lead to object substitutions, attribute changes, or category-level errors in downstream captions.
Approach: They propose a diagnostic setup in which masked image regions are reconstructed and then provided to captioning models.
Outcome: The proposed diagnostic framework can be used to examine how visual artifacts affect language generation in vision-language models.

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