3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
NearID: Identity Representation Learning via Near-identity Distractors
Aleksandar Cvejic, Rameen Abdal, Abdelrahman Eldesokey +2
When evaluating identity-focused tasks such as personalized generation and image editing, existing vision encoders entangle object identity with background context, leading to unre…
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
Abdelrahman Eldesokey, Aleksandar Cvejic, Bernard Ghanem +1
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…
EditCLIP: Representation Learning for Image Editing
Qian Wang, Aleksandar Cvejic, Abdelrahman Eldesokey +1
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 ed…
PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models
Aleksandar Cvejic, Abdelrahman Eldesokey, Peter Wonka
We present the first text-based image editing approach for object parts based on pre-trained diffusion models. Diffusion-based image editing approaches capitalized on the deep unde…