DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
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Wakals
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Computer Vision, Vision-language Model, Generative Model
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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!
📄 Paper: https://alphaxiv.org/abs/2509.07295
💻 Code: https://github.com/HorizonWind2004/reconstruction-alignment
🤗 HF Models: sanaka87/reca-68ad2176380355a3dcedc068
✍️ DEMO: 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: Reconstruction Alignment Improves Unified Multimodal Models (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 ✂️.
📄 Paper: https://alphaxiv.org/abs/2509.07295
💻 Code: https://github.com/HorizonWind2004/reconstruction-alignment
🤗 HF Models: sanaka87/reca-68ad2176380355a3dcedc068
✍️ DEMO: 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: Reconstruction Alignment Improves Unified Multimodal Models (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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