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README.md

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+pipeline_tag: image-to-3d
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+# FreeInpaint
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+**Pose-Free Feed-Forward 3D Inpainting via Learnable Mask Attention and Support Token Refinement**
+
+Presented at NeurIPS 2026.
+
+- Paper: [arXiv](https://arxiv.org/abs/2610.11857)
+- Project page: [https://rorisis.github.io/FreeInpaint](https://rorisis.github.io/FreeInpaint)
+- Code: [https://github.com/Rorisis/FreeInpaint](https://github.com/Rorisis/FreeInpaint)
+
+FreeInpaint is a feed-forward framework that generates complete and 3D-consistent scenes directly from unposed multi-view images with masked regions, eliminating the reliance on pre-computed camera poses. It introduces a Learnable Mask Attention mechanism and a Support Token Refinement strategy to achieve high-quality inpainting while preserving geometric and textural consistency.