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"style transfer"に関するエントリは4件あります。 人工知能 が関連タグです。 人気エントリには 『Creating a 17 KB style transfer model with layer pruning and quantization - Fritz ai』などがあります。
  • Creating a 17 KB style transfer model with layer pruning and quantization - Fritz ai

    Home » Blog » Creating a 17 KB style transfer model with layer pruning and quantization There are now a bunch of off-the-shelf tools for training artistic style transfer models and thousands of open source implementations. Most use a variation of the network architecture described by Johnson et al to perform fast, feed-forward stylization. As a result, the majority of the style transfer models you

    • GitHub - imfing/sketch-to-art: 🖼 Create artwork from your casual sketch with GAN and style transfer

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        GitHub - imfing/sketch-to-art: 🖼 Create artwork from your casual sketch with GAN and style transfer
      • GitHub - williamyang1991/VToonify: [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

        overview.mp4 This repository provides the official PyTorch implementation for the following paper: VToonify: Controllable High-Resolution Portrait Video Style Transfer Shuai Yang, Liming Jiang, Ziwei Liu and Chen Change Loy In ACM TOG (Proceedings of SIGGRAPH Asia), 2022. Project Page | Paper | Supplementary Video | Input Data and Video Results Abstract: Generating high-quality artistic portrait v

          GitHub - williamyang1991/VToonify: [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
        • Goshuin 2.0: Construction of the World’s Largest Goshuin Dataset and Automatic Generation System of Goshuin with Neural Style Transfer - Digital Nature Group

          Goshuin 2.0: Construction of the World’s Largest Goshuin Dataset and Automatic Generation System of Goshuin with Neural Style Transfer The goshuin is a vermilion stamped and inked text that can be obtained as a proof of visit to a shrine or temple. It has been in circulation mainly in Japan since the Middle Ages, and in recent years, the artistic quality of the goshuin has been appreciated and is

            Goshuin 2.0: Construction of the World’s Largest Goshuin Dataset and Automatic Generation System of Goshuin with Neural Style Transfer - Digital Nature Group
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