CAREER: Scalable Rendering for Visual Realism in Scale-Complex Scenes

职业：复杂场景中视觉现实主义的可缩放渲染i: Kavita bala计算机图形学的基本挑战是创建能够准确描绘现实世界中复杂自然场景的交互式虚拟环境。这些虚拟环境对各种各样的应用都至关重要，包括电子商务、教育、工业设计和建筑规划、游戏和电影、安全分析和虚拟培训以及文化遗产。逼真地模拟现实世界的视觉外观是极具挑战性的，因为感兴趣的场景具有复杂的几何形状，材料和灯光在广泛的物理尺度上相互作用，从毫米大小的表面凸起到大规模的结构。我们称之为规模复杂的场景。目前的渲染方法对比例是盲目的，这使得在这种复杂的比例场景中无法真实地模拟光线反射和散射的复杂路径。这个项目开发了一个新颖的框架，用于逼真地渲染复杂场景的图像。重要的是，该框架支持丰富的照明现象和渲染效果，如间接照明、参与媒体、地下散射、运动模糊和景深。为了使所提出的框架具有可扩展性，它必须在场景和模拟照明现象日益复杂的情况下表现良好。本项目探索了以下新方法：(a)对所有照明现象和渲染效果的统一处理，(b)新颖的多分辨率表示与基于早期视觉和高级视觉的感知度量相结合，以消除视觉上不重要的计算，(c)根据需要精确计算照明细节的新方法，照明驱动的几何和材料简化，以及(d)用于交互性能的新的混合CPU/GPU算法。

CAREER: Scalable Rendering for Visual Realism in Scale-Complex ScenesPI: Kavita BalaA fundamental challenge in computer graphics is to create interactive virtual environments that accurately depict the complex natural scenes of the real world. These virtual environments are vital for a wide variety of applications, including e-commerce, education, industrial design and architectural planning, games and movies, safety analysis and virtual training, and cultural heritage. Realistically simulating the visual appearance of the real world is extremely challenging because scenes of interest have complex geometry, material, and lighting interacting across a wide range of physical scales, ranging from millimeter-sized surface bumps to large-scale structure. We call such scenes scale-complex. Current rendering methods are blind to scale, making it infeasible to realistically simulate the complex paths along which light reflects and scatters in such scale-complex scenes. This project develops a novel framework for realistically rendering images of scale-complex scenes. Importantly, the framework supports rich illumination phenomena and rendering effects such as indirect illumination, participating media, subsurface scattering, motion blur, and depth-of-field.For the proposed framework to be scalable, it must perform well even with growing complexity of the scene and of simulated illumination phenomena. This project explores the following new approaches: (a) a unified treatment of all illumination phenomena and rendering effects, (b) novel multiresolution representations coupled with perceptual metrics based on early vision and higher level vision to eliminate computation where it is not visually important, (c) new methods for accurately computing illumination detail as needed, with illumination-driven simplification of geometry and material, and (d) new hybrid CPU/GPU algorithms for interactive performance.