โ๏ธ Knowledge Editing¶
๐๏ธ ECCV2026 ยท 1 paper notes
๐ Same area in other venues: ๐ท CVPR2026 (2) ยท ๐ฌ ICLR2026 (15) ยท ๐ฌ ACL2026 (10) ยท ๐งช ICML2026 (8) ยท ๐ค AAAI2026 (4) ยท ๐ง NeurIPS2025 (6)
- Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
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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.