PAPARAZZI: Surface Editing by way of Multi-View Image Processing

作     者：Liu, Hsueh-Ti Derek Tao, Michael Jacobson, Alec 

作者机构：Univ Toronto 40 St George St Toronto ON M5S 2E4 Canada 

出 版 物：《ACM TRANSACTIONS ON GRAPHICS》 (美国计算机学会图形学汇刊)

年 卷 期：2018年第37卷第6期

页      面：221-221页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：NSERC [RGPIN2017-05235, RGPAS-2017-507938, RGPIN-2017-05524] NSERC DAS [RGPAS-2017-507909] Connaught Funds [NR2016-17] Canada Research Chairs Program 

主　　题：geometry processing surface editing image-based modeling geometric deformation inverse graphics 

摘      要：The image processing pipeline boasts a wide variety of complex filters and effects. Translating an individual effect to operate on 3D surface geometry inevitably results in a bespoke algorithm. Instead, we propose a general-purpose back-end optimization that allows users to edit an input 3D surface by simply selecting an off-the-shelf image processing filter. We achieve this by constructing a differentiable triangle mesh renderer, with which we can back propagate changes in the image domain to the 3D mesh vertex positions. The given image processing technique is applied to the entire shape via stochastic snapshots of the shape: hence, we call our method Paparazzi. We provide simple yet important design considerations to construct the Paparazzi renderer and optimization algorithms. The power of this rendering-based surface editing is demonstrated via the variety of image processing filters we apply. Each application uses an off-the-shelf implementation of an image processing method without requiring modification to the core Paparazzi algorithm.