Search Results - Yesiltepe, Hidir

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  1. 1
    RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

    RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models by Kara, Ozgur, Kurtkaya, Bariscan, Yesiltepe, Hidir, Rehg, James M., Yanardag, Pinar

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  2. 2
    The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP

    The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP by Yesiltepe, Hidir, Yusuf Dalva, Yanardag, Pinar

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  3. 3
    GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models

    GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models by Yusuf Dalva, Yesiltepe, Hidir, Yanardag, Pinar

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  4. 4
    MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

    MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models by Yesiltepe, Hidir, Akdemir, Kiymet, Yanardag, Pinar

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  5. 5
    MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models

    MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models by Tuna Han Salih Meral, Yesiltepe, Hidir, Dunlop, Connor, Yanardag, Pinar

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  6. 6
    MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance

    MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance by Yesiltepe, Hidir, Tuna Han Salih Meral, Dunlop, Connor, Yanardag, Pinar

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  7. 7
    Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models

    Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models by Zheng, Matthew, Simsar, Enis, Yesiltepe, Hidir, Tombari, Federico, Simon, Joel, Yanardag, Pinar

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  8. 8
    RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

    RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models by Kara, Ozgur, Kurtkaya, Bariscan, Yesiltepe, Hidir, Rehg, James M, Yanardag, Pinar

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