https://github.com/kitliu5/Stanford-CS236-Project
Progressive Growing of GANs for Improved Quality, Stability, and Variation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Face generation is the task of generating (or interpolating) new faces from an existing dataset.
The state-of-the-art results for this task are located in the Image Generation parent.
<span style="color:grey; opacity: 0.6">( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.