2024/12/06 by Avinash Paliwal, Xilong Zhou, Paliwal, Avinash +5 · 2 citations
Computer Science · Engineering · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Satellite Image Processing and Photogrammetry
paper · pdf · doi:10.48550/arxiv.2412.04827
openalex publication_date 2024/12/06 · openalex created_date 2024/12/10 · openalex updated_date 2026/07/29
In this paper, we present PanoDreamer, a novel method for producing a coherent 360° 3D scene from a single input image. Unlike existing methods that generate the scene sequentially, we frame the problem as single-image panorama and depth estimation. Once the coherent panoramic image and its corresponding depth are obtained, the scene can be reconstructed by inpainting the small occluded regions and projecting them into 3D space. Our key contribution is formulating single-image panorama and depth estimation as two optimization tasks and introducing alternating minimization strategies to effectively solve their objectives. We demonstrate that our approach outperforms existing techniques in single-image 360° 3D scene reconstruction in terms of consistency and overall quality.