Aleksandar Cvejić — accepted AI-conference papers

2025

EditCLIP: Representation Learning for Image Editing

Qian Wang, Aleksandar Cvejić, Abdelrahman Eldesokey, Peter Wonka

ICCV 2025poster

We introduce EditCLIP, a novel representation-learning approach for image editing. Our method learns a unified representation of edits by jointly encoding an input image and its edited counterpart, effectively capturing their transformation. To evaluate its effectiveness, we employ EditCLIP to solve…

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2025

Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation

Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem, Peter Wonka

NeurIPS 2025spotlight

We propose a novel approach for disentangling visual and semantic features from the backbones of pre-trained diffusion models, enabling visual correspondence in a manner analogous to the well-established semantic correspondence. While diffusion model backbones are known to encode semantically rich…

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