SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model

Figure 1. Sparse View Image Restoration. Our diffusion model takes multi-view images and jointly enhances their visual quality while maintaining 3D consistency. (Top) Four motion-blurred input images are processed by our method, resulting in sharp outputs that significantly outperform single-view restoration methods as shown in the corresponding purple boxes. (Bottom) Our method can consistently restore multi-view images (4 out of 50 shown), leading to accurate 3D reconstructions.