Papers Face Transfer
“Face Transfer” 태그가 달린 논문 8편 · 필터 해제
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
Text-to-image generative models, especially those based on latent diffusion models (LDMs), have demonstrated outstanding ability in generating high-quality and high-resolution images from textual prompts. With this advan…
Face TransferMixture-of-ExpertsCausal Representation Learning for Context-Aware Face Transfer
Human face synthesis involves transferring knowledge about the identity and identity-dependent face shape (IDFS) of a human face to target face images where the context (e.g., facial expressions, head poses, and other ba…
counterfactualCounterfactual InferenceFace GenerationFace Transfer+2One Shot Face Swapping on Megapixels
Face swapping has both positive applications such as entertainment, human-computer interaction, etc., and negative applications such as DeepFake threats to politics, economics, etc. Nevertheless, it is necessary to under…
DeepFake DetectionDisentanglementFace SwappingFace Transfer+1MobileFace: 3D Face Reconstruction with Efficient CNN Regression
Estimation of facial shapes plays a central role for face transfer and animation. Accurate 3D face reconstruction, however, often deploys iterative and costly methods preventing real-time applications. In this work we de…
3D Face ReconstructionFace ReconstructionFace TransferregressionGeometry Guided Adversarial Facial Expression Synthesis
Facial expression synthesis has drawn much attention in the field of computer graphics and pattern recognition. It has been widely used in face animation and recognition. However, it is still challenging due to the high-…
Face RecognitionFace TransferGenerative Adversarial NetworkTexture SynthesisFace Transfer with Generative Adversarial Network
Face transfer animates the facial performances of the character in the target video by a source actor. Traditional methods are typically based on face modeling. We propose an end-to-end face transfer method based on Gene…
Face TransferGenerative Adversarial NetworkInverting face embeddings with convolutional neural networks
Deep neural networks have dramatically advanced the state of the art for many areas of machine learning. Recently they have been shown to have a remarkable ability to generate highly complex visual artifacts such as imag…
Face TransferAutomatic Face Reenactment
We propose an image-based, facial reenactment system that replaces the face of an actor in an existing target video with the face of a user from a source video, while preserving the original target performance. Our syste…
ClusteringFace ModelFace ReenactmentFace Transfer+2