https://github.com/zhangchenxu528/FACIAL
공식 코드FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Talking face generation aims to synthesize a sequence of face images that correspond to given speech semantics
<span style="color:grey; opacity: 0.6">( Image credit: Talking Face Generation by Adversarially Disentangled Audio-Visual Representation )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
Text2Video: Text-driven Talking-head Video Synthesis with Personalized Phoneme-Pose Dictionary
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.