24 citations · 35 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
1st Place Solution for PSG competition with ECCV'22 SenseHuman Workshop
Qixun Wang, Xiaofeng Guo, Haofan Wang
Panoptic Scene Graph (PSG) generation aims to generate scene graph representations based on panoptic segmentation instead of rigid bounding boxes. Existing PSG methods utilize one-…