360^circ Reconstruction From a Single Image Using Space Carved Outpainting

Nuri Ryu, Minsu Gong, geonung kim, Joo-Haeng Lee, Sunghyun Cho

360^circ Reconstruction From a Single Image Using Space Carved Outpainting: 5 upvotes on Hugging Face Daily Papers, #9 of 9 papers on 2023-09-20. Day-by-day upvote history.

We introduce POP3D, a novel framework that creates a full 360^circ-view 3D model from a single image. POP3D resolves two prominent issues that limit the single-view reconstruction. Firstly, POP3D offers substantial generalizability to arbitrary categories, a trait that previous methods struggle to achieve. Secondly, POP3D further improves reconstruction fidelity and naturalness, a crucial aspect that concurrent works fall short of. Our approach marries the strengths of four primary components: (1) a monocular depth and normal predictor that serves to predict crucial geometric cues, (2) a space carving method capable of demarcating the potentially unseen portions of the target object, (3) a generative model pre-trained on a large-scale image dataset that can complete unseen regions of the target, and (4) a neural implicit surface reconstruction method tailored in reconstructing objects using RGB images along with monocular geometric cues. The combination of these components enables POP3D to readily generalize across various in-the-wild images and generate state-of-the-art reconstructions, outperforming similar works by a significant margin. Project page: http://cg.postech.ac.kr/research/POP3D

Paper page on Hugging Face · arXiv

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