Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization

ArXi:2512.10955v2 Announce Type: replace Visual concept personalization aims to transfer only specific image attributes, such as identity, expression, lighting, and style, into unseen contexts. However, existing methods rely on holistic embeddings from general-purpose image encoders, which entangle multiple visual factors and make it difficult to isolate a single attribute. This often leads to information leakage and incoherent synthesis. To address this limitation, we