Excited to share our Unified Multimodal Models new work Reconstruction Alignment (RecA)! 🚀 Just 6 × 80GB A100s × 4.5 hours to boost BAGEL performance across all tasks! Outperforms FLUX-Kontext in image editing capabilities!
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Excited to share our Unified Multimodal Models new work Reconstruction Alignment (RecA)! 🚀 Just 6 × 80GB A100s × 4.5 hours to boost BAGEL performance across all tasks! Outperforms FLUX-Kontext in image editing capabilities!
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 📄 Paper: 
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 📄 Paper: 
https://alphaxiv.org/abs/2509.07295
https://alphaxiv.org/abs/2509.07295
link
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 💻 Code: 
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 💻 Code: 
https://github.com/HorizonWind2004/reconstruction-alignment
https://github.com/HorizonWind2004/reconstruction-alignment
link
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 🤗 HF Models: 
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 🤗 HF Models: 
https://huggingface.co/collections/sanaka87/reca-68ad2176380355a3dcedc068
sanaka87/reca-68ad2176380355a3dcedc068
collection
resource
https://huggingface.co/collections/sanaka87/reca-68ad2176380355a3dcedc068
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 ✍️ DEMO: 
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 ✍️ DEMO: 
https://huggingface.co/spaces/sanaka87/BAGEL-RecA
sanaka87/BAGEL-RecA
space
resource
https://huggingface.co/spaces/sanaka87/BAGEL-RecA
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 🌐 Project Page: 
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 🌐 Project Page: 
https://reconstruction-alignment.github.io
https://reconstruction-alignment.github.io
link
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 🔥 X: 
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 🔥 X: 
https://x.com/XDWang101/status/1965908302581420204
https://x.com/XDWang101/status/1965908302581420204
link
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 📰 Zhihu: 
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 📰 Zhihu: 
https://zhuanlan.zhihu.com/p/1947584568187159814
https://zhuanlan.zhihu.com/p/1947584568187159814
link
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 🤗 HF Daily Paper: 
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 🤗 HF Daily Paper: 
Reconstruction Alignment Improves Unified Multimodal Models (2509.07295)
https://huggingface.co/papers/2509.07295
2509.07295
paper
resource
https://huggingface.co/papers/2509.07295
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⚡ <10k images & 27 GPU hours (no-arch-changes) → SOTA, surpassing much larger open-source & private models:
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⚡ <10k images & 27 GPU hours (no-arch-changes) → SOTA, surpassing much larger open-source & private models:
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📊 GenEval: 0.73 → 0.90 | 📊 DPGBench: 80.93 → 88.15
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📊 GenEval: 0.73 → 0.90 | 📊 DPGBench: 80.93 → 88.15
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🖼️ ImgEdit: 3.38 → 3.75 | 🖌️ GEdit: 6.94 → 7.25
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🖼️ ImgEdit: 3.38 → 3.75 | 🖌️ GEdit: 6.94 → 7.25
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✅ RecA trains UMMs to reconstruct images from their own visual understanding encoder embeddings → big gains in image generation 🎨 & editing ✂️.
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✅ RecA trains UMMs to reconstruct images from their own visual understanding encoder embeddings → big gains in image generation 🎨 & editing ✂️.
Excited to share our Unified Multimodal Models new work Reconstruction Alignment (RecA)! 🚀 Just 6 × 80GB A100s × 4.5 hours to boost BAGEL performance across all tasks! Outperforms FLUX-Kontext in image editing capabilities!

 📄 Paper: https://alphaxiv.org/abs/2509.07295
 💻 Code: https://github.com/HorizonWind2004/reconstruction-alignment
 🤗 HF Models: https://huggingface.co/collections/sanaka87/reca-68ad2176380355a3dcedc068
 ✍️ DEMO: https://huggingface.co/spaces/sanaka87/BAGEL-RecA
 🌐 Project Page: https://reconstruction-alignment.github.io
 🔥 X: https://x.com/XDWang101/status/1965908302581420204
 📰 Zhihu: https://zhuanlan.zhihu.com/p/1947584568187159814
 🤗 HF Daily Paper: https://huggingface.co/papers/2509.07295

⚡ <10k images & 27 GPU hours (no-arch-changes) → SOTA, surpassing much larger open-source & private models:

📊 GenEval: 0.73 → 0.90 | 📊 DPGBench: 80.93 → 88.15
🖼️ ImgEdit: 3.38 → 3.75 | 🖌️ GEdit: 6.94 → 7.25

✅ RecA trains UMMs to reconstruct images from their own visual understanding encoder embeddings → big gains in image generation 🎨 & editing ✂️.
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sanaka87 eugene-kamenev John6666 linoyts Laz0183847292938emwkajd firdouzov Wakals