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Daniel Garibi
@DanielGaribi
garibida.github.io/danielgaribi/
Joined March 2022
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    Daniel Garibi
    @DanielGaribi
    Jun 11, 2025
    Thrilled to share that our paper TokenVerse received a Best Paper Award at #SIGGRAPH2025! 🎉
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    Daniel Garibi
    @DanielGaribi
    Apr 16, 2025
    Excited to share that "TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space" got accepted to SIGGRAPH 2025! It tackles disentangling complex visual concepts from as little as a single image and re-composing concepts across multiple images into a coherent
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    Daniel Garibi
    @DanielGaribi
    Oct 9, 2025
    SAEdit shows how the high-dimensional space of SAEs can be used as a precise, disentangled editing space where linear shifts in text embeddings yield fine-grained visual control 🎨✨
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    Ronen Kamenetsky
    @ronenklo
    Oct 9, 2025
    AutoEncoders normally have narrow bottlenecks, Sparse AutoEncoders (SAE) have large ones! SAEdit leverages that to learn a high-dimensional, disentangled sprase space, where linear moves on text embeddings translate into fine-grained, visual edits ronen94.github.io/SAEdit/ 1/5
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    Daniel Garibi
    @DanielGaribi
    Aug 11, 2025
    Honored to receive the SIGGRAPH Best Paper Award 🏆 @omer_tov @Roni_Paiss If you want to know why, come tomorrow at 09:00 in West Building Rooms 118 120 for the “Stabilize and Personalize Your Pixels” session or just visit our project page: token-verse.github.io
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    Daniel Garibi
    @DanielGaribi
    Apr 16, 2025
    Excited to share that "TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space" got accepted to SIGGRAPH 2025! It tackles disentangling complex visual concepts from as little as a single image and re-composing concepts across multiple images into a coherent
  • user avatar
    Daniel Garibi
    @DanielGaribi
    Apr 16, 2025
    Excited to share that "TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space" got accepted to SIGGRAPH 2025! It tackles disentangling complex visual concepts from as little as a single image and re-composing concepts across multiple images into a coherent
    Image
    00:00
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    Daniel Garibi
    @DanielGaribi
    Jul 4, 2024
    Make some noise for ReNoise for getting accepted to #ECCV2024! ReNoise is an inversion method that enables interactive image editing with the recent few-steps diffusion models. More details are on our project page. garibida.github.io/ReNoise-Invers…
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    Daniel Garibi
    @DanielGaribi
    Mar 22, 2024
    Introducing ReNoise Inversion! With the recent diffusion models trained to generate images with a few steps, interactive image editing is within our reach. Our method unlocks interactive image editing by inverting images to the noise space of fast diffusion models 🚀