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โœ๏ธ Knowledge Editing

๐ŸŽž๏ธ ECCV2026 ยท 1 paper notes

๐Ÿ“Œ Same area in other venues: ๐Ÿ“ท CVPR2026 (2) ยท ๐Ÿ”ฌ ICLR2026 (15) ยท ๐Ÿ’ฌ ACL2026 (10) ยท ๐Ÿงช ICML2026 (8) ยท ๐Ÿค– AAAI2026 (4) ยท ๐Ÿง  NeurIPS2025 (6)

Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization

Addressing the instability and lack of semantic reasoning in conventional rare-token concept customization, this paper introduces the knowledge-aware concept customization task alongside MoKus, a two-stage framework that leverages cross-modal knowledge transfer to project diverse natural language knowledge onto a visual anchor via closed-form model editing, achieving efficient and high-fidelity customized generation.