LOLNeRF: Learn from One Look

• Published in: Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 1548 - 1557
• Main Authors: Rebain, Daniel, Matthews, Mark, Yi, Kwang Moo, Lagun, Dmitry, Tagliasacchi, Andrea
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2022
• Subjects: 3D from single images; Face and gestures; Image and video synthesis and generation; Pose estimation and tracking; Segmentation; Costs; Data models; Geometry; grouping and shape analysis; Vision + graphics; Shape; Solid modeling; Three-dimensional displays; Training

We present a method for learning a generative 3D model based on neural radiance fields, trained solely from data with only single views of each object. While generating realistic images is no longer a difficult task, producing the corresponding 3D structure such that they can be rendered from differ...