---
pipeline_tag: image-to-3d
---

# FreeInpaint

**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.