ACM Trans. Graph.最新文献_第3页

PolyFit: perception-aligned vectorization of raster clip-art via intermediate polygonal fitting PolyFit:通过中间多边形拟合对栅格剪贴画进行感知对齐矢量化

ACM Trans. Graph. Pub Date : 2020-01-01 DOI: 10.1145/3386569.3392401

E. Dominici, Nico Schertler, Jonathan Griffin, Shayan Hoshyari, L. Sigal, A. Sheffer

引用次数: 2

ENIGMA: evolutionary non-isometric geometry MAtching 进化非等距几何匹配

ACM Trans. Graph. Pub Date : 2019-05-26 DOI: 10.1145/3386569.3392447

M. Edelstein, Danielle Ezuz, M. Ben-Chen

引用次数: 12

Practical acquisition and rendering of diffraction effects in surface reflectance 表面反射率衍射效应的实际获取与绘制

ACM Trans. Graph. Pub Date : 2017-07-20 DOI: 10.1145/3072959.3126805

Antoine Toisoul, A. Ghosh

{"title":"Practical acquisition and rendering of diffraction effects in surface reflectance","authors":"Antoine Toisoul, A. Ghosh","doi":"10.1145/3072959.3126805","DOIUrl":"https://doi.org/10.1145/3072959.3126805","url":null,"abstract":"We propose two novel contributions for measurement-based rendering of diffraction effects in surface reflectance of planar homogeneous diffractive materials. As a general solution for commonly manufactured materials, we propose a practical data-driven rendering technique and a measurement approach to efficiently render complex diffraction effects in real time. Our measurement step simply involves photographing a planar diffractive sample illuminated with an LED flash. Here, we directly record the resultant diffraction pattern on the sample surface due to a narrow-band point source illumination. Furthermore, we propose an efficient rendering method that exploits the measurement in conjunction with the Huygens-Fresnel principle to fit relevant diffraction parameters based on a first-order approximation. Our proposed data-driven rendering method requires the precomputation of a single diffraction look-up table for accurate spectral rendering of complex diffraction effects. Second, for sharp specular samples, we propose a novel method for practical measurement of the underlying diffraction grating using out-of-focus “bokeh” photography of the specular highlight. We demonstrate how the measured bokeh can be employed as a height field to drive a diffraction shader based on a first-order approximation for efficient real-time rendering. Finally, we also drive analytic solutions for a few special cases of diffraction from our measurements and demonstrate realistic rendering results under complex light sources and environments.","PeriodicalId":7121,"journal":{"name":"ACM Trans. Graph.","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75829866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Portrait lighting transfer using a mass transport approach 肖像照明传输使用质量传输方法

ACM Trans. Graph. Pub Date : 2017-07-20 DOI: 10.1145/3072959.3126847

Zhixin Shu, Sunil Hadap, Eli Shechtman, Kalyan Sunkavalli, Sylvain Paris, D. Samaras

{"title":"Portrait lighting transfer using a mass transport approach","authors":"Zhixin Shu, Sunil Hadap, Eli Shechtman, Kalyan Sunkavalli, Sylvain Paris, D. Samaras","doi":"10.1145/3072959.3126847","DOIUrl":"https://doi.org/10.1145/3072959.3126847","url":null,"abstract":"Lighting is a critical element of portrait photography. However, good lighting design typically requires complex equipment and significant time and expertise. Our work simplifies this task using a relighting technique that transfers the desired illumination of one portrait onto another. The novelty in our approach to this challenging problem is our formulation of relighting as a mass transport problem. We start from standard color histogram matching that only captures the overall tone of the illumination, and we show how to use the mass-transport formulation to make it dependent on facial geometry. We fit a three-dimensional (3D) morphable face model to the portrait, and for each pixel, we combine the color value with the corresponding 3D position and normal. We then solve a mass-transport problem in this augmented space to generate a color remapping that achieves localized, geometry-aware relighting. Our technique is robust to variations in facial appearance and small errors in face reconstruction. As we demonstrate, this allows our technique to handle a variety of portraits and illumination conditions, including scenarios that are challenging for previous methods.","PeriodicalId":7121,"journal":{"name":"ACM Trans. Graph.","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87744171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 65

A schur complement preconditioner for scalable parallel fluid simulation 一种可扩展并行流体模拟的schur补体预调节器

ACM Trans. Graph. Pub Date : 2017-07-20 DOI: 10.1145/3072959.3126843

Jieyu Chu, Nafees Bin Zafar, Xubo Yang

引用次数: 22

Efficient solver for spacetime control of smoke 烟雾时空控制的有效求解器

ACM Trans. Graph. Pub Date : 2017-07-20 DOI: 10.1145/3072959.3126807

Zherong Pan, Dinesh Manocha

引用次数: 3

DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning DeepLoco:使用分层深度强化学习的动态运动技能

ACM Trans. Graph. Pub Date : 2017-07-20 DOI: 10.1145/3072959.3073602

X. B. Peng, G. Berseth, KangKang Yin, M. V. D. Panne

{"title":"DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning","authors":"X. B. Peng, G. Berseth, KangKang Yin, M. V. D. Panne","doi":"10.1145/3072959.3073602","DOIUrl":"https://doi.org/10.1145/3072959.3073602","url":null,"abstract":"Learning physics-based locomotion skills is a difficult problem, leading to solutions that typically exploit prior knowledge of various forms. In this paper we aim to learn a variety of environment-aware locomotion skills with a limited amount of prior knowledge. We adopt a two-level hierarchical control framework. First, low-level controllers are learned that operate at a fine timescale and which achieve robust walking gaits that satisfy stepping-target and style objectives. Second, high-level controllers are then learned which plan at the timescale of steps by invoking desired step targets for the low-level controller. The high-level controller makes decisions directly based on high-dimensional inputs, including terrain maps or other suitable representations of the surroundings. Both levels of the control policy are trained using deep reinforcement learning. Results are demonstrated on a simulated 3D biped. Low-level controllers are learned for a variety of motion styles and demonstrate robustness with respect to force-based disturbances, terrain variations, and style interpolation. High-level controllers are demonstrated that are capable of following trails through terrains, dribbling a soccer ball towards a target location, and navigating through static or dynamic obstacles.","PeriodicalId":7121,"journal":{"name":"ACM Trans. Graph.","volume":"8 1","pages":"41:1-41:13"},"PeriodicalIF":0.0,"publicationDate":"2017-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74960550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 513

Deep correlations for texture synthesis 纹理合成的深度相关性

ACM Trans. Graph. Pub Date : 2017-07-20 DOI: 10.1145/3072959.3126824

O. Sendik, D. Cohen-Or

引用次数: 17

Understanding and exploiting object interaction landscapes 理解和利用对象交互景观

ACM Trans. Graph. Pub Date : 2017-07-06 DOI: 10.1145/3072959.3126793

S. Pirk, Vojtech Krs, Kaimo Hu, S. D. Rajasekaran, Hao Kang, Y. Yoshiyasu, Bedrich Benes, L. Guibas

引用次数: 7

Quasi-newton methods for real-time simulation of hyperelastic materials 超弹性材料实时模拟的准牛顿方法

ACM Trans. Graph. Pub Date : 2017-07-06 DOI: 10.1145/3072959.3126831

Tiantian Liu, Sofien Bouaziz, L. Kavan

{"title":"Quasi-newton methods for real-time simulation of hyperelastic materials","authors":"Tiantian Liu, Sofien Bouaziz, L. Kavan","doi":"10.1145/3072959.3126831","DOIUrl":"https://doi.org/10.1145/3072959.3126831","url":null,"abstract":"We present a new method for real-time physics-based simulation supporting many different types of hyperelastic materials. Previous methods such as Position-Based or Projective Dynamics are fast but support only a limited selection of materials; even classical materials such as the Neo-Hookean elasticity are not supported. Recently, Xu et al. [2015] introduced new “spline-based materials” that can be easily controlled by artists to achieve desired animation effects. Simulation of these types of materials currently relies on Newton’s method, which is slow, even with only one iteration per timestep. In this article, we show that Projective Dynamics can be interpreted as a quasi-Newton method. This insight enables very efficient simulation of a large class of hyperelastic materials, including the Neo-Hookean, spline-based materials, and others. The quasi-Newton interpretation also allows us to leverage ideas from numerical optimization. In particular, we show that our solver can be further accelerated using L-BFGS updates (Limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm). Our final method is typically more than 10 times faster than one iteration of Newton’s method without compromising quality. In fact, our result is often more accurate than the result obtained with one iteration of Newton’s method. Our method is also easier to implement, implying reduced software development costs.","PeriodicalId":7121,"journal":{"name":"ACM Trans. Graph.","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83983785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 139