Talking Head Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 7
- 보존된 평가 기록
- 15
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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wangsuzhen/Audio2Head
공식 코드Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
https://github.com/winfredy/sadtalker
공식 코드https://github.com/wywu/ReenactGAN
공식 코드https://github.com/yuangan/eat_code
공식 코드Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
https://github.com/yuangan/silencer
공식 코드https://github.com/zengbohan0217/fadm
공식 코드https://github.com/zhichaowang970201/text-to-video
공식 코드Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation
https://github.com/zwx8981/adth-qa
공식 코드A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos
https://github.com/Ierezell/PapierFewShot
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/OpenTalker/SadTalker
https://github.com/PrashanthaTP/wav2mov
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
https://github.com/YuanxunLu/LiveSpeechPortraits
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
https://github.com/ZVK/Talking-Heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/ZVK/talking_heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/adobe-research/MakeItTalk
https://github.com/grey-eye/talking-heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/joonson/yousaidthat
https://github.com/livingbio/MakeItTalk
https://github.com/miccunifi/scantalk
https://github.com/mowshon/lipsync
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
https://github.com/rockstar-0000/lip_sync_test
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
https://github.com/shoutOutYangJie/Few-Shot-Adversarial-Learning-for-face-swap
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/sibozhang/Text2Video
https://github.com/vincent-thevenin/Realistic-Neural-Talking-Head-Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/yzhou359/MakeItTalk
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.