AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting

Chung-Ho Wu; Yang-Jung Chen; Ying-Huan Chen; Jie-Ying Lee; Bo-Hsu Ke; Chun-Wei Tuan Mu; Yi-Chuan Huang; Chin-Yang Lin; Min-Hung Chen; Yen-Yu Lin; Yu-Lun Liu

arXiv · 2502.05176

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting

Chung-Ho Wu·Yang-Jung Chen·Ying-Huan Chen·Jie-Ying Lee·Bo-Hsu Ke·Chun-Wei Tuan Mu·Yi-Chuan Huang·Chin-Yang Lin·Min-Hung Chen·Yen-Yu Lin·Yu-Lun Liu

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Abstract

Three-dimensional scene inpainting is crucial for applications from virtual reality to architectural visualization, yet existing methods struggle with view consistency and geometric accuracy in 360° unbounded scenes. We present AuraFusion360, a novel reference-based method that enables high-quality object removal and hole filling in 3D scenes represented by Gaussian Splatting. Our approach introduces (1) depth-aware unseen mask generation for accurate occlusion identification, (2) Adaptive Guided Depth Diffusion, a zero-shot method for accurate initial point placement without requiring additional training, and (3) SDEdit-based detail enhancement for multi-view coherence. We also introduce 360-USID, the first comprehensive dataset for 360° unbounded scene inpainting with ground truth. Extensive experiments demonstrate that AuraFusion360 significantly outperforms existing methods, achieving superior perceptual quality while maintaining geometric accuracy across dramatic viewpoint changes.

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Chung-Ho Wu, Yang-Jung Chen, Ying-Huan Chen, Jie-Ying Lee, Bo-Hsu Ke, Chun-Wei Tuan Mu, Yi-Chuan Huang, Chin-Yang Lin, Min-Hung Chen, Yen-Yu Lin, Yu-Lun Liu. 2025-04-19. AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting. https://arxiv.org/abs/2502.05176

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