24 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 2 cited
InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation
Haofan Wang, Peng Xing, Renyuan Huang +3
Style transfer is an inventive process designed to create an image that maintains the essence of the original while embracing the visual style of another. Although diffusion models…
cs.CV2024★ 5 cited
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Haofan Wang, Matteo Spinelli, Qixun Wang +3
Tuning-free diffusion-based models have demonstrated significant potential in the realm of image personalization and customization. However, despite this notable progress, current…
cs.CV2024★ 24 cited
InstantID: Zero-shot Identity-Preserving Generation in Seconds
Qixun Wang, Xu Bai, Haofan Wang +5
There has been significant progress in personalized image synthesis with methods such as Textual Inversion, DreamBooth, and LoRA. Yet, their real-world applicability is hindered by…