3D models of trees are ubiquitous in video games, movies, and simulators. It is of paramount importance to generate high quality 3D models to enhance the visual content, and increase the diversity of the available models. In this work, we propose a methodology to create realistic 3D models of tree barks from a consumer-grade hand-held camera. Additionally, we present a pipeline that makes use of multi-view 3D Reconstruction and Generative Adversarial Networks (GANs) to generate the 3D models of the barks. We introduce a GAN referred to as the Depth-Reinforced-SPADE to generate the surfaces of the tree barks and the bark color concurrently. This GAN gives extensive control on what is being generated on the bark: moss, lichen, scars, etc. Finally, by testing our pipeline on different Northern-European trees whose barks exhibit radically different color patterns and surfaces, we show that our pipeline can be used to generate a broad panel of tree species’ bark.

树木的 3D 模型在视频游戏、电影和模拟器中无处不在。生成高质量的 3D 模型以增强视觉内容并增加可用模型的多样性至关重要。在这项工作中，我们提出了一种从消费级手持相机创建逼真的树皮 3D 模型的方法。此外，我们提出了一个管道，它利用多视图 3D 重建和生成对抗网络 (GAN) 来生成树皮的 3D 模型。我们引入了一种称为 Depth-Reinforced-SPADE 的 GAN，以同时生成树皮表面和树皮颜色。这个 GAN 对树皮上生成的东西提供了广泛的控制：苔藓、地衣、疤痕等。最后，