Identity-Preserved Portrait Generation for Fictional Worlds via Visual Reference Guidance Görsel Referans Rehberliǧi ile Kurgusal Dünyalar Için Kimlik Korunumlu Portre Üretimi
34th Signal Processing and Communications Applications Conference, SIU 2026, İstanbul, Türkiye, 7 - 10 Temmuz 2026, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu71813.2026.11636675
- Basıldığı Şehir: İstanbul
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: fictional worlds, Identity preservation, style transfer, style-content disentanglement
- Boğaziçi Üniversitesi Adresli: Evet
Özet
Identity-preserving portrait generation has gained significant popularity in recent years due to its success in realistic face synthesis; however, it still struggles to balance biometric fidelity and stylistic integrity within fictional world applications. Furthermore, the heavy reliance on text prompts remains a critical limitation for generating unique artistic styles. This study proposes a hybrid approach that ensures identity preservation via the InstantID model while simultaneously learning stylistic features directly from visual references by disentangling content and style through B-LoRA. Experimental findings and quantitative metrics demonstrate that the developed approach achieves high CLIP-I (0.739) and CLIP-T (0.270) scores in fictional world scenarios, while maintaining a competitive level of identity preservation performance compared to current state-of-the-art models in the literature.