Papers Face Generation
“Face Generation” 태그가 달린 논문 381편 · 필터 해제
Non-Adaptive Adversarial Face Generation
Adversarial attacks on face recognition systems (FRSs) pose serious security and privacy threats, especially when these systems are used for identity verification. In this paper, we propose a novel method for generating …
AttributeFace GenerationFace RecognitionGuard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
Securing personal identity against deepfake attacks is increasingly critical in the digital age, especially for celebrities and political figures whose faces are easily accessible and frequently targeted. Most existing d…
DeepFake DetectionFace GenerationFace SwappingLarge Language Model+1FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion
Human facial images encode a rich spectrum of information, encompassing both stable identity-related traits and mutable attributes such as pose, expression, and emotion. While recent advances in image generation have ena…
AttributeDiversityFace GenerationImage GenerationFLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images
Synthetic face datasets are increasingly used to overcome the limitations of real-world biometric data, including privacy concerns, demographic imbalance, and high collection costs. However, many existing methods lack fi…
DiversityFace GenerationFace RecognitionRobustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
The rapid advancement of generative image technology has introduced significant security concerns, particularly in the domain of face generation detection. This paper investigates the vulnerabilities of current AI-genera…
Face DetectionFace GenerationMagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
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 motion control in existing video-based f…
DenoisingFace GenerationFace ReenactmentLMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs
The rapid advancement in generative artificial intelligence have enabled the creation of 3D human faces (HFs) for applications including media production, virtual reality, security, healthcare, and game development, etc.…
BenchmarkingFace GenerationQuestion AnsweringSaliency Prediction+1DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition
Face recognition technology presents serious privacy risks due to its reliance on sensitive and immutable biometric data. To address these concerns, such systems typically convert raw facial images into embeddings, which…
Face GenerationFace RecognitionImage GenerationPrivacy Preserving+1ID-Booth: Identity-consistent Face Generation with Diffusion Models
Recent advances in generative modeling have enabled the generation of high-quality synthetic data that is applicable in a variety of domains, including face recognition. Here, state-of-the-art generative models typically…
DenoisingDiversityFace GenerationFace Recognition+3Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion
Identity-preserving face synthesis aims to generate synthetic face images of virtual subjects that can substitute real-world data for training face recognition models. While prior arts strive to create images with consis…
Face GenerationFace RecognitionDisentTalk: Cross-lingual Talking Face Generation via Semantic Disentangled Diffusion Model
Recent advances in talking face generation have significantly improved facial animation synthesis. However, existing approaches face fundamental limitations: 3DMM-based methods maintain temporal consistency but lack fine…
DisentanglementFace GenerationTalking Face GenerationFFaceNeRF: Few-shot Face Editing in Neural Radiance Fields
Recent 3D face editing methods using masks have produced high-quality edited images by leveraging Neural Radiance Fields (NeRF). Despite their impressive performance, existing methods often provide limited user control d…
3D-Aware Image SynthesisFace GenerationNeRFUniSync: A Unified Framework for Audio-Visual Synchronization
Precise audio-visual synchronization in speech videos is crucial for content quality and viewer comprehension. Existing methods have made significant strides in addressing this challenge through rule-based approaches and…
Audio-Visual SynchronizationContrastive LearningFace GenerationFace Parsing+1PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation
Recent advancements in audio-driven talking face generation have made great progress in lip synchronization. However, current methods often lack sufficient control over facial animation such as speaking style and emotion…
Face GenerationTalking Face GenerationPlaymate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion
Recent diffusion-based talking face generation models have demonstrated impressive potential in synthesizing videos that accurately match a speech audio clip with a given reference identity. However, existing approaches …
AttributeDisentanglementFace GenerationPortrait Animation+1Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach
Face parsing is a fundamental task in computer vision, enabling applications such as identity verification, facial editing, and controllable image synthesis. However, existing face parsing models often lack fairness and …
Face GenerationFace ParsingFacial EditingFairness+2JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video Editing
Significant progress has been made in talking-face video generation research; however, precise lip-audio synchronization and high visual quality remain challenging in editing lip shapes based on input audio. This paper i…
3D ReconstructionFace GenerationMotion GenerationTalking Face Generation+2DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed per-…
3DGSFace GenerationDense-Face: Personalized Face Generation Model via Dense Annotation Prediction
The text-to-image (T2I) personalization diffusion model can generate images of the novel concept based on the user input text caption. However, existing T2I personalized methods either require test-time fine-tuning or fa…
Face GenerationImage GenerationGLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection
Talking face generation (TFG) allows for producing lifelike talking videos of any character using only facial images and accompanying text. Abuse of this technology could pose significant risks to society, creating the u…
DeepFake DetectionFace GenerationFace SwappingTalking Face Generation