Showing 4 open source projects for "transfer"

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  • 1
    Dream Textures

    Dream Textures

    Stable Diffusion built-in to Blender

    ...Inpaint to fix up images and convert existing textures into seamless ones automatically. Outpaint to increase the size of an image by extending it in any direction. Perform style transfer and create novel animations with Stable Diffusion as a post processing step. Dream Textures has been tested with CUDA and Apple Silicon GPUs. Over 4GB of VRAM is recommended.
    Downloads: 17 This Week
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  • 2
    Qwen-Image

    Qwen-Image

    Qwen-Image is a powerful image generation foundation model

    ...The model excels not only in text rendering but also in a wide range of artistic styles, including photorealistic, impressionist, anime, and minimalist aesthetics. Qwen-Image supports sophisticated editing tasks such as style transfer, object insertion and removal, detail enhancement, and even human pose manipulation, making it suitable for both professional and casual users. It also includes advanced image understanding capabilities like object detection, semantic segmentation, depth and edge estimation, and novel view synthesis.
    Downloads: 12 This Week
    Last Update:
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  • 3
    Deep Feature Rotation Multimodal Image

    Deep Feature Rotation Multimodal Image

    Implementation of Deep Feature Rotation for Multimodal Image

    Official implementation of paper Deep Feature Rotation for Multimodal Image Style Transfer [NICS'21] We propose a simple method for representing style features in many ways called Deep Feature Rotation (DFR), while still achieving effective stylization compared to more complex methods in style transfer. Our approach is a representative of the many ways of augmentation for intermediate feature embedding without consuming too much computational expense.
    Downloads: 0 This Week
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  • 4
    PaddleGAN

    PaddleGAN

    PaddlePaddle GAN library, including lots of interesting applications

    PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on. PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and supports developers to quickly build, train and deploy GANs for academic, entertainment, and industrial usage.
    Downloads: 0 This Week
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