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Audio-Visual Synchronization
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논문
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Audio-Sync Video Generation with Multi-Stream Temporal Control
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions
CoGenAV: Versatile Audio-Visual Representation Learning via Contrastive-Generative Synchronization
DeepAudio-V1:Towards Multi-Modal Multi-Stage End-to-End Video to Speech and Audio Generation
UniSync: A Unified Framework for Audio-Visual Synchronization
FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
MuseTalk: Real-Time High-Fidelity Video Dubbing via Spatio-Temporal Sampling
Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthesis
A Comprehensive Review and Taxonomy of Audio-Visual Synchronization Techniques for Realistic Speech Animation
RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network
Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection
PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores
Synchformer: Efficient Synchronization from Sparse Cues
CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing
Comparative Analysis of Deep-Fake Algorithms
Audio-driven Talking Face Generation with Stabilized Synchronization Loss
Target Active Speaker Detection with Audio-visual Cues
On the Audio-visual Synchronization for Lip-to-Speech Synthesis
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory
Multimodal Transformer Distillation for Audio-Visual Synchronization
Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors
Rethinking Audio-visual Synchronization for Active Speaker Detection
VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices
Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet
Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation
Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning
Identity-Preserving Realistic Talking Face Generation
Realistic Speech-Driven Facial Animation with GANs
On Attention Modules for Audio-Visual Synchronization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.