6 papers
NullFace: Training-Free Localized Face Anonymization
Han-Wei Kung, Tuomas Varanka, Terence Sim +1
Privacy concerns around ever increasing number of cameras are increasing in today's digital age. Although existing anonymization methods are able to obscure identity information, t…
Zero-Shot Video Deraining with Video Diffusion Models
Tuomas Varanka, Juan Luis Gonzalez, Hyeongwoo Kim +2
Existing video deraining methods are often trained on paired datasets, either synthetic, which limits their ability to generalize to real-world rain, or captured by static cameras,…
Reverse Personalization
Han-Wei Kung, Tuomas Varanka, Nicu Sebe
Recent text-to-image diffusion models have demonstrated remarkable generation of realistic facial images conditioned on textual prompts and human identities, enabling creating pers…
Towards Consistent and Controllable Image Synthesis for Face Editing
Mengting Wei, Tuomas Varanka, Yante Li +3
Face editing methods, essential for tasks like virtual avatars, digital human synthesis and identity preservation, have traditionally been built upon GAN-based techniques, while re…
MagicFace: High-Fidelity Facial Expression Editing with Action-Unit Control
Mengting Wei, Tuomas Varanka, Xingxun Jiang +2
We address the problem of facial expression editing by controling the relative variation of facial action-unit (AU) from the same person. This enables us to edit this specific pers…
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
Mengting Wei, Yante Li, Tuomas Varanka +2
In this study, we propose a method for video face reenactment that integrates a 3D face parametric model into a latent diffusion framework, aiming to improve shape consistency and…