디노랩스
AI에 대체되지 않을 전문가 네트워크

디노랩스 AI 스터디 게더타운 사용설명영상
![[논문리뷰] Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert](https://ricktube.ru/thumbnail/fYJiXTJTsJg/mqdefault.jpg)
[논문리뷰] Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
![[논문리뷰] DiffTalk : Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation](https://ricktube.ru/thumbnail/ZYfXFijeE-4/mqdefault.jpg)
[논문리뷰] DiffTalk : Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
![[코드 리뷰] DiscoHead test code review](https://ricktube.ru/thumbnail/kQC6EnTlsUE/mqdefault.jpg)
[코드 리뷰] DiscoHead test code review
![[논문 리뷰] DisCoHead](https://ricktube.ru/thumbnail/94aENJ9SWdY/mqdefault.jpg)
[논문 리뷰] DisCoHead
![[논문리뷰] Wav2Lip : A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild(2020)](https://ricktube.ru/thumbnail/7QrRnL2-4xE/mqdefault.jpg)
[논문리뷰] Wav2Lip : A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild(2020)
![[코드 리뷰] Identity-Preserving Talking Face Generation withLandmark and Appearance Priors](https://ricktube.ru/thumbnail/eN04nT09C70/mqdefault.jpg)
[코드 리뷰] Identity-Preserving Talking Face Generation withLandmark and Appearance Priors
![[논문리뷰] StyleSync : High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator](https://ricktube.ru/thumbnail/jP1qYaBpIDM/mqdefault.jpg)
[논문리뷰] StyleSync : High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator
![[논문 리뷰] Identity-Preserving Talking Face Generation withLandmark and Appearance Priors](https://ricktube.ru/thumbnail/QFiSMr50BZg/mqdefault.jpg)
[논문 리뷰] Identity-Preserving Talking Face Generation withLandmark and Appearance Priors
![[논문 리뷰] Wav2Lip - A Lip Sync Expert Is All You Need for Speech to Lip GenerationIn The Wild](https://ricktube.ru/thumbnail/t0N-ygdGIrM/mqdefault.jpg)
[논문 리뷰] Wav2Lip - A Lip Sync Expert Is All You Need for Speech to Lip GenerationIn The Wild
![[논문 리뷰] IP_LAP (Identity-Preserving Talking Face Generation with Landmark and Appearance Priors)](https://ricktube.ru/thumbnail/1SIp7iB3nl8/mqdefault.jpg)
[논문 리뷰] IP_LAP (Identity-Preserving Talking Face Generation with Landmark and Appearance Priors)