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Talking Head Generation
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Talking head generation is the task of generating a talking face from a set of images of a person.
<span style="color:grey; opacity: 0.6">( Image credit: Few-Shot Adversarial Learning of Realistic Neural Talking Head Models )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions
Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
DualTalk: Dual-Speaker Interaction for 3D Talking Head Conversations
KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution
OmniTalker: Real-Time Text-Driven Talking Head Generation with In-Context Audio-Visual Style Replication
Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation
Audio-Plane: Audio Factorization Plane Gaussian Splatting for Real-Time Talking Head Synthesis
Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics
Dual Audio-Centric Modality Coupling for Talking Head Generation
Teller: Real-Time Streaming Audio-Driven Portrait Animation with Autoregressive Motion Generation
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
Dimitra: Audio-driven Diffusion model for Expressive Talking Head Generation
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control
UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control
Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with Adapters
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expression
IF-MDM: Implicit Face Motion Diffusion Model for High-Fidelity Realtime Talking Head Generation
ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
LES-Talker: Fine-Grained Emotion Editing for Talking Head Generation in Linear Emotion Space
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation
Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads
EmoGene: Audio-Driven Emotional 3D Talking-Head Generation
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation
DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head Synthesis
EMOdiffhead: Continuously Emotional Control in Talking Head Generation via Diffusion
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures
SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model
PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation
FD2Talk: Towards Generalized Talking Head Generation with Facial Decoupled Diffusion Model
Landmark-guided Diffusion Model for High-fidelity and Temporally Coherent Talking Head Generation
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.