论文标题
EasyPBR：一个基于物理的轻巧的渲染器
EasyPBR: A Lightweight Physically-Based Renderer
论文作者
论文摘要
现代渲染图书馆提供了前所未有的现实主义，从而生成了有关商品硬件的实时逼真的3D图形。然而，视觉保真度是以增加复杂性和使用难度为代价的，许多渲染参数需要对管道有深刻的了解。我们建议EasyPBR作为替代渲染库，在易用性和视觉质量之间达到平衡。 EasyPBR由一个递延的渲染器组成，该渲染器在基于物理的渲染中实现了最新的最新方法。它提供了易于使用的Python和C ++接口，该界面允许仅在几行代码或直接通过图形用户界面创建高质量的图像。用户可以在完全控制渲染管道或让EasyPBR自动根据当前场景组成的最佳参数之间进行选择。 EasyPBR库可以帮助社区更轻松地利用当前GPU的力量创建逼真的图像。然后，这些可以用作用于深度学习的合成数据，也可以用作用于学术目的的动画。
Modern rendering libraries provide unprecedented realism, producing real-time photorealistic 3D graphics on commodity hardware. Visual fidelity, however, comes at the cost of increased complexity and difficulty of usage, with many rendering parameters requiring a deep understanding of the pipeline. We propose EasyPBR as an alternative rendering library that strikes a balance between ease-of-use and visual quality. EasyPBR consists of a deferred renderer that implements recent state-of-the-art approaches in physically based rendering. It offers an easy-to-use Python and C++ interface that allows high-quality images to be created in only a few lines of code or directly through a graphical user interface. The user can choose between fully controlling the rendering pipeline or letting EasyPBR automatically infer the best parameters based on the current scene composition. The EasyPBR library can help the community to more easily leverage the power of current GPUs to create realistic images. These can then be used as synthetic data for deep learning or for creating animations for academic purposes.
