Amit H. Bermano

6 posts

Amit H. Bermano

Amit H. Bermano

@bermano_h

Katılım Haziran 2021
76 Takip Edilen80 Takipçiler
Amit H. Bermano retweetledi
Rotem Shalev-Arkushin
Rotem Shalev-Arkushin@rotemsh3·
Thrilled to share that our paper ImageRAG has been accepted to #ICLR2026 🤩🇧🇷 Check it out: rotem-shalev.github.io/ImageRAG/ @RinonGal @ohadf @bermano_h
Rotem Shalev-Arkushin@rotemsh3

Excited to introduce our new work: ImageRAG 🖼️✨ rotem-shalev.github.io/ImageRAG We enhance off-the-shelf generative models with Retrieval-Augmented Generation (RAG) for unknown concept generation, using a VLM-based approach that’s easy to integrate with new & existing models! [1/3]

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shahar sarfaty
shahar sarfaty@shaharsarfaty·
CARLoS standardizes and interprets LoRA behavior - powering reliable retrieval, better creator/user tools, and clearer legal assessment. Thanks to my co-authors: @adihaviv, UriYHacohen, NivaElkinKoren, @LivniRoi, @bermano_h 🧵[6/6]
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Rinon Gal
Rinon Gal@RinonGal·
Excited to finally share our latest work!🥳We show that you can find new pseudo-words in the embedding space of frozen text-to-image models, that represent new visual concepts (e.g. your favorite toy / a child's drawing). You can then just use these words "as is" in new prompts!
AK@_akhaliq

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion abs: arxiv.org/abs/2208.01618 “Textual Inversions”, operates by inverting the concepts into new pseudo-words within the textual embedding space of a pre-trained text-to-image model

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