20 citations · 31 across the 10 of their papers we have counts for
11 papers
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…
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,…
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…
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…
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…
Face Anonymization Made Simple
Han-Wei Kung, Tuomas Varanka, Sanjay Saha +2
Current face anonymization techniques often depend on identity loss calculated by face recognition models, which can be inaccurate and unreliable. Additionally, many methods requir…
Towards Localized Fine-Grained Control for Facial Expression Generation
Tuomas Varanka, Huai-Qian Khor, Yante Li +4
Generative models have surged in popularity recently due to their ability to produce high-quality images and video. However, steering these models to produce images with specific a…
PFStorer: Personalized Face Restoration and Super-Resolution
Tuomas Varanka, Tapani Toivonen, Soumya Tripathy +2
Recent developments in face restoration have achieved remarkable results in producing high-quality and lifelike outputs. The stunning results however often fail to be faithful with…
Data Leakage and Evaluation Issues in Micro-Expression Analysis
Tuomas Varanka, Yante Li, Wei Peng +1
Micro-expressions have drawn increasing interest lately due to various potential applications. The task is, however, difficult as it incorporates many challenges from the fields of…
Hyperbolic Deep Neural Networks: A Survey
Wei Peng, Tuomas Varanka, Abdelrahman Mostafa +2
Recently, there has been a rising surge of momentum for deep representation learning in hyperbolic spaces due to theirhigh capacity of modeling data like knowledge graphs or synony…