Papers with Code 아카이브
Face Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 0
- 보존된 평가 기록
- 0
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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sidward14/gan-lab
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/sijinkim/pggan-clone
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/sims-s/bird-gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/slawekslex/ArcFace_Explained
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/smkim7-kr/toy-projects/tree/master/ArcFace-visualization
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/sobieskibj/rcsb
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/songquanpeng/BlendGAN
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
https://github.com/stevehansen43/progressive_GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/stevexwu/face_brightness
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/suhuijia/pggan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/summerice9/AniGAN
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
https://github.com/sunil-rival/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/t-ae/progan-s4tf
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/tamnil/esp32-xtensa-study
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/taotaonice/FaceShifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/tgeorgy/mgan
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/thenhz/progressive_growing_of_gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/thongdk8/realtime-facereccpp
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/timsainb/GAIA
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/trachpro/arcface-tf2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/trachpro/insightFace_v2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/uladzislau-varabei/progressively_growing_gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/umd-fire-coml/2020-Face-Generation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ung200/thats-what-obama-said
https://github.com/valentingol/GANJax
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/vijishmadhavan/SkinDeep
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/vincent-thevenin/Realistic-Neural-Talking-Head-Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/vinx-2105/madgan-degan
https://github.com/vipermu/ganimation
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/vitoralbiero/face_analysis_pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vladimirwest/insightface_cinematic
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vnbot2/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vpsg-research/waveguard
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/vvictoryuki/freedom
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/wanderine/ProgressiveGAN3D
Progressive Growing of GANs for Improved Quality, Stability, and Variation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.