Generative Model

1.[Information]Example of Generative Model

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2.[논문리뷰] Motion Representations for Articulated Animation

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3.[논문리뷰] Deep Video Inpainting

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4.Some Note on VAE

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5.[참고할 만한 자료] : AutoEncoder, Variational AutoEncoder

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6.[논문리뷰]Semantic Image Synthesis with Spatially-Adaptive Normalization: GauGAN

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8.Approach to VAE(Variational Auto Encoder)(2)

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9.[논문리뷰] Adversarial Auto Encoder

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11.[코드리뷰] VAE Architecture in SPADE

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12.Test time Training Test for SPADE

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13.[정리] GAN / DCGAN

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14.[정리] Metric for WGAN

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15.WGAN

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16.[논문리뷰] WGAN GP(Gradient-Panelty)

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18.[논문리뷰/정리] Image-to-Image Translation with Conditional Adversarial Nets(pix2pix)

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19.[논문리뷰] StarGAN

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21. INVESTIGATING AND VISUALIZING THE INTERNALS OF THE NETWORKS : in DCGAN

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22.Semantic Segmentation model or datasets for Landspace painting

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24.[논문리뷰] DALL-E: Zero-Shot Text-to-Image Generation

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25.Sample dataset for SPADE

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28.[강의슬라이드] Zero Shot Text to Image Generation: DALL-E(DALLE)

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29.Adaptation for single image in SPADE-base model

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30.Training 경량화

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