CVPR2020
Adversarial Texture Optimization From RGB-D Scans
Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser
Abstract
Ours Zhou and Koltun Figure 1. Our goal is to reconstruct high-quality textures from an RGB-D scan. Unlike traditional methods which optimize for a parametric color map to reduce misalignment error (Zhou and Koltun [36]), we learn a misalignment-tolerant discriminator, producing sharper textures.