3d-aware blending with generative nerfs
Image blending aims to combine multiple images seamlessly. It remains challenging for
existing 2D-based methods, especially when input images are misaligned due to differences …
existing 2D-based methods, especially when input images are misaligned due to differences …
Style your hair: Latent optimization for pose-invariant hairstyle transfer via local-style-aware hair alignment
Editing hairstyle is unique and challenging due to the complexity and delicacy of hairstyle.
Although recent approaches significantly improved the hair details, these models often …
Although recent approaches significantly improved the hair details, these models often …
Stable-hair: Real-world hair transfer via diffusion model
Current hair transfer methods struggle to handle diverse and intricate hairstyles, thus limiting
their applicability in real-world scenarios. In this paper, we propose a novel diffusion-based …
their applicability in real-world scenarios. In this paper, we propose a novel diffusion-based …
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
Our paper seeks to transfer the hairstyle of a reference image to an input photo for virtual
hair try-on. We target a variety of challenges scenarios, such as transforming a long hairstyle …
hair try-on. We target a variety of challenges scenarios, such as transforming a long hairstyle …
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
Our paper addresses the complex task of transferring a hairstyle from a reference image to
an input photo for virtual hair try-on. This task is challenging due to the need to adapt to …
an input photo for virtual hair try-on. This task is challenging due to the need to adapt to …