2 citations · 5 across the 4 of their papers we have counts for
5 papers · 1 filter
HiFiVFS: High Fidelity Video Face Swapping
Xu Chen, Keke He, Junwei Zhu +3
Face swapping aims to generate results that combine the identity from the source with attributes from the target. Existing methods primarily focus on image-based face swapping. Whe…
ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model
Chengming Xu, Kai Hu, Qilin Wang +5
Stylized Text-to-Image Generation (STIG) aims to generate images from text prompts and style reference images. In this paper, we present ArtWeaver, a novel framework that leverages…
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
Yue Han, Junwei Zhu, Keke He +7
Current face reenactment and swapping methods mainly rely on GAN frameworks, but recent focus has shifted to pre-trained diffusion models for their superior generation capabilities…
DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation
Qilin Wang, Jiangning Zhang, Chengming Xu +7
Facial Appearance Editing (FAE) aims to modify physical attributes, such as pose, expression and lighting, of human facial images while preserving attributes like identity and back…
A Generalist FaceX via Learning Unified Facial Representation
Yue Han, Jiangning Zhang, Junwei Zhu +7
This work presents FaceX framework, a novel facial generalist model capable of handling diverse facial tasks simultaneously. To achieve this goal, we initially formulate a unified…