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Spade 1

Semantic Image Synthesis with Spatially-Adaptive Normalization (SPADE, gauGAN)

저자 : Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu 출간 : CVPR 2019 주제 : Supervised Image to Image (정확힌 semantic label map to photo-realistic image) Framework : Pytorch 출처 : https://arxiv.org/abs/1903.07291 Github : NVlabs/SPADE: Semantic Image Synthesis with SPADE (github.com) GitHub - NVlabs/SPADE: Semantic Image Synthesis with SPADE Semantic Image Synthesis with SPADE. Contribute to NV..

GAN 2021.10.19
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일상블로그 blog.naver.com/nhmnhm0819 nhmnhm0819@naver.com

  • 분류 전체보기 (33)
    • ML theory (2)
    • CNN (Image Classification) (4)
    • Optical Flow (2)
    • GAN (5)
    • Detection (3)
    • python (2)
    • docker (3)
    • kubernetes (3)
    • computer (1)
    • MLOps (6)
    • Network (2)

Tag

Variational Autoencoder, 감정인식, raft, subprocess, CNN, Detectron2, NFNet, VAE, Optical Flow, U-GAT-IT, GAN, flownet, ESR-9, gauGAN, ASAPNet, kubeflow, mask rcnn, Kubernetes, detectron, DCLGAN,

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