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🚀UniWorld: a unified model that skips VAEs and uses semantic features from SigLIP! Using just 1% of BAGEL’s data, it outperforms on image editing and excels in understanding & generation. 🌟Now data, model, training & evaluation script are open-source!

Bin Lin

1,308 subscribers

22,327 次观看 • 1 年前 •via X (Twitter)

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5 条评论

Bin Lin 的头像

Bin Lin1 年前

(1) We observe that GPT-4o likely employs a non-mandatory VAE injection, making it difficult to preserve low-level features consistent with the reference image.

HUDI 的头像

HUDI2 年前

Guess who’s not a fan of data ownership? 😅 When #Zuckerberg gives zero stars, you know the @datamaskwallet app is keeping your data safe from the big tech giants' grasp. 🚫📊 #DataPrivacy #BigTechNemesis art and creative by @Matteo_Frog

Bin Lin 的头像

Bin Lin1 年前

(3) We used only 2.7M data samples—just 0.1% of BAGEL—achieving high efficiency. All data, training and evaluation code, and models have been fully open-sourced.

Bin Lin 的头像

Bin Lin1 年前

(2) We demonstrate remarkable image perception capabilities, surpassing those of GPT-4o.

Alex Genovese 的头像

Alex Genovese1 年前

looks interesting but it's not 100% precise. Good job anyway! Are you planning to release a single LoRA file?

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