link.springer.com/article/10.1007/s00138-021-01228-zby X Chen · 2021 · Cited by 21 — ... SinGAN: learning a generative model from a single natural image. In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp ...
chloe-ki.tistory.com/entry/singanGAN을 이용해 새로운 이미지를 생성할 때, 보통 대량의 training set에서 이미지/오브젝트의 스타일 분포를 학습한 후 그 분포에서 이미지를 생성한다.
github.com/cryu854/SinGANSinGAN is an unconditional generative model that can be learned from a single natural image, and is then able to generate diverse realistic image samples with ...
ar5iv.labs.arxiv.org/html/1905.01164SinGAN, our new single image generative model, allows us to deal with general natural images that contain complex structures and textures, without the need to ...
ieeexplore.ieee.org/document/9816357/by Z Sambugaro · 2022 — We present SinGAN-3D, a variation of the deep neural network architecture presented originally by SinGAN, for the generation of 3D contents, starting from a ...
www.researchgate.net/figure/Output-of-original-SinGAN-and-refined-S...Output of original SinGAN and refined SinGAN with global contextual prior. (a) Random sample of SinGAN. (b) Random sample of SinGAN with global contextual ...
github.com/kligvasser/SinGANThis is an unofficial implementation of SinGAN from someone who's been sitting right next to SinGAN's creator for almost five years. Please refer the project's ...
www.researchgate.net/publication/336058156_SINGAN_Singing_Voice_Con...The proposed GAN-based conversion framework , that we call SINGAN, consists of two neural networks: a discriminator to distinguish natural and ...
singgan.github.ioIn this work, we propose SingGAN, a generative adversarial network designed for high-fidelity singing voice synthesis. Specifically, 1) to alleviate the glitch ...