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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** |
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| Presented at NeurIPS 2026. |
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| - 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) |
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| 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. |
