Deep Radiance Caching: Convolutional Autoencoders Deeper in Ray Tracing
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CUDA-SCOTTY Fast Interactive CUDA Path Tracer Using Wide Trees and Dynamic Ray Scheduling
15-618: Parallel Computer Architecture and Programming CUDA-SCOTTY Fast Interactive CUDA Path Tracer using Wide Trees and Dynamic Ray Scheduling “Golden Dragon” TEAM MEMBERS Sai Praveen Bangaru (Andrew ID: saipravb) Sam K Thomas (Andrew ID: skthomas) Introduction Path tracing has long been the select method used by the graphics community to render photo-realistic images. It has found wide uses across several industries, and plays a major role in animation and filmmaking, with most special effects rendered using some form of Monte Carlo light transport. It comes as no surprise, then, that optimizing path tracing algorithms is a widely studied field, so much so, that it has it’s own top-tier conference (HPG; High Performance Graphics). There are generally a whole spectrum of methods to increase the efficiency of path tracing. Some methods aim to create better sampling methods (Metropolis Light Transport), while others try to reduce noise in the final image by filtering the output (4D Sheared transform). In the spirit of the parallel programming course 15-618, however, we focus on a third category: system-level optimizations and leveraging hardware and algorithms that better utilize the hardware (Wide Trees, Packet tracing, Dynamic Ray Scheduling). Most of these methods, understandably, focus on the ray-scene intersection part of the path tracing pipeline, since that is the main bottleneck. In the following project, we describe the implementation of a hybrid non-packet method which uses Wide Trees and Dynamic Ray Scheduling to provide an 80x improvement over a 8-threaded CPU implementation. Summary Over the course of roughly 3 weeks, we studied two non-packet BVH traversal optimizations: Wide Trees, which involve non-binary BVHs for shallower BVHs and better Warp/SIMD Utilization and Dynamic Ray Scheduling which involved changing our perspective to process rays on a per-node basis rather than processing nodes on a per-ray basis. -
Practical Path Guiding for Efficient Light-Transport Simulation
Eurographics Symposium on Rendering 2017 Volume 36 (2017), Number 4 P. Sander and M. Zwicker (Guest Editors) Practical Path Guiding for Efficient Light-Transport Simulation Thomas Müller1;2 Markus Gross1;2 Jan Novák2 1ETH Zürich 2Disney Research Vorba et al. MSE: 0.017 Reference Ours (equal time) MSE: 0.018 Training: 5.1 min Training: 0.73 min Rendering: 4.2 min, 8932 spp Rendering: 4.2 min, 11568 spp Figure 1: Our method allows efficient guiding of path-tracing algorithms as demonstrated in the TORUS scene. We compare equal-time (4.2 min) renderings of our method (right) to the current state-of-the-art [VKv∗14, VK16] (left). Our algorithm automatically estimates how much training time is optimal, displays a rendering preview during training, and requires no parameter tuning. Despite being fully unidirectional, our method achieves similar MSE values compared to Vorba et al.’s method, which trains bidirectionally. Abstract We present a robust, unbiased technique for intelligent light-path construction in path-tracing algorithms. Inspired by existing path-guiding algorithms, our method learns an approximate representation of the scene’s spatio-directional radiance field in an unbiased and iterative manner. To that end, we propose an adaptive spatio-directional hybrid data structure, referred to as SD-tree, for storing and sampling incident radiance. The SD-tree consists of an upper part—a binary tree that partitions the 3D spatial domain of the light field—and a lower part—a quadtree that partitions the 2D directional domain. We further present a principled way to automatically budget training and rendering computations to minimize the variance of the final image. -
Surface Recovery: Fusion of Image and Point Cloud
Surface Recovery: Fusion of Image and Point Cloud Siavash Hosseinyalamdary Alper Yilmaz The Ohio State University 2070 Neil avenue, Columbus, Ohio, USA 43210 pcvlab.engineering.osu.edu Abstract construct surfaces. Implicit (or volumetric) representation of a surface divides the three dimensional Euclidean space The point cloud of the laser scanner is a rich source of to voxels and the value of each voxel is defined based on an information for high level tasks in computer vision such as indicator function which describes the distance of the voxel traffic understanding. However, cost-effective laser scan- to the surface. The value of every voxel inside the surface ners provide noisy and low resolution point cloud and they has negative sign, the value of the voxels outside the surface are prone to systematic errors. In this paper, we propose is positive and the surface is represented as zero crossing two surface recovery approaches based on geometry and values of the indicator function. Unfortunately, this repre- brightness of the surface. The proposed approaches are sentation is not applicable to open surfaces and some mod- tested in realistic outdoor scenarios and the results show ifications should be applied to reconstruct open surfaces. that both approaches have superior performance over the- The least squares and partial differential equations (PDE) state-of-art methods. based approaches have also been developed to implicitly re- construct surfaces. The moving least squares(MLS) [22, 1] and Poisson surface reconstruction [16], has been used in 1. Introduction this paper for comparison, are particularly popular. Lim and Haron review different surface reconstruction techniques in Point cloud is a valuable source of information for scene more details [20]. -
Megakernels Considered Harmful: Wavefront Path Tracing on Gpus
Megakernels Considered Harmful: Wavefront Path Tracing on GPUs Samuli Laine Tero Karras Timo Aila NVIDIA∗ Abstract order to handle irregular control flow, some threads are masked out when executing a branch they should not participate in. This in- When programming for GPUs, simply porting a large CPU program curs a performance loss, as masked-out threads are not performing into an equally large GPU kernel is generally not a good approach. useful work. Due to SIMT execution model on GPUs, divergence in control flow carries substantial performance penalties, as does high register us- The second factor is the high-bandwidth, high-latency memory sys- age that lessens the latency-hiding capability that is essential for the tem. The impressive memory bandwidth in modern GPUs comes at high-latency, high-bandwidth memory system of a GPU. In this pa- the expense of a relatively long delay between making a memory per, we implement a path tracer on a GPU using a wavefront formu- request and getting the result. To hide this latency, GPUs are de- lation, avoiding these pitfalls that can be especially prominent when signed to accommodate many more threads than can be executed in using materials that are expensive to evaluate. We compare our per- any given clock cycle, so that whenever a group of threads is wait- formance against the traditional megakernel approach, and demon- ing for a memory request to be served, other threads may be exe- strate that the wavefront formulation is much better suited for real- cuted. The effectiveness of this mechanism, i.e., the latency-hiding world use cases where multiple complex materials are present in capability, is determined by the threads’ resource usage, the most the scene. -
Experimental Validation of Autodesk 3Ds Max Design 2009 and Daysim
Experimental Validation of Autodesk® 3ds Max® Design 2009 and Daysim 3.0 NRC Project # B3241 Submitted to: Autodesk Canada Co. Media & Entertainment Submitted by: Christoph Reinhart1,2 1) National Research Council Canada - Institute for Research in Construction (NRC-IRC) Ottawa, ON K1A 0R6, Canada (2001-2008) 2) Harvard University, Graduate School of Design Cambridge, MA 02138, USA (2008 - ) February 12, 2009 B3241.1 Page 1 Table of Contents Abstract ....................................................................................................................................... 3 1 Introduction .......................................................................................................................... 3 2 Methodology ......................................................................................................................... 5 2.1 Daylighting Test Cases .................................................................................................... 5 2.2 Daysim Simulations ....................................................................................................... 12 2.3 Autodesk 3ds Max Design Simulations ........................................................................... 13 3 Results ................................................................................................................................ 14 3.1 Façade Illuminances ...................................................................................................... 14 3.2 Base Case (TC1) and Lightshelf (TC2) -
Open Source Software for Daylighting Analysis of Architectural 3D Models
19th International Congress on Modelling and Simulation, Perth, Australia, 12–16 December 2011 http://mssanz.org.au/modsim2011 Open Source Software for Daylighting Analysis of Architectural 3D Models Terrance Mc Minn a a Curtin University of Technology School of Built Environment, Perth, Australia Email: [email protected] Abstract:This paper examines the viability of using open source software for the architectural analysis of solar access and over shading of building projects. For this paper open source software also includes freely available closed source software. The Computer Aided Design software – Google SketchUp (Free) while not open source, is included as it is freely available, though with restricted import and export abilities. A range of software tools are used to provide an effective procedure to aid the Architect in understanding the scope of sun penetration and overshadowing on a site and within a project. The technique can be also used lighting analysis of both external (to the building) as well as for internal spaces. An architectural model built in SketchUp (free) CAD software is exported in two different forms for the Radiance Lighting Simulation Suite to provide the lighting analysis. The different exports formats allow the 3D CAD model to be accessed directly via Radiance for full lighting analysis or via the Blender Animation program for a graphical user interface limited option analysis. The Blender Modelling Environment for Architecture (BlendME) add-on exports the model and runs Radiance in the background. Keywords:Lighting Simulation, Open Source Software 3226 McMinn, T., Open Source Software for Daylighting Analysis of Architectural 3D Models INTRODUCTION The use of daylight in buildings has the potential for reduction in the energy demands and increasing thermal comfort and well being of the buildings occupants (Cutler, Sheng, Martin, Glaser, et al., 2008), (Webb, 2006), (Mc Minn & Karol, 2010), (Yancey, n.d.) and others. -
An Advanced Path Tracing Architecture for Movie Rendering
RenderMan: An Advanced Path Tracing Architecture for Movie Rendering PER CHRISTENSEN, JULIAN FONG, JONATHAN SHADE, WAYNE WOOTEN, BRENDEN SCHUBERT, ANDREW KENSLER, STEPHEN FRIEDMAN, CHARLIE KILPATRICK, CLIFF RAMSHAW, MARC BAN- NISTER, BRENTON RAYNER, JONATHAN BROUILLAT, and MAX LIANI, Pixar Animation Studios Fig. 1. Path-traced images rendered with RenderMan: Dory and Hank from Finding Dory (© 2016 Disney•Pixar). McQueen’s crash in Cars 3 (© 2017 Disney•Pixar). Shere Khan from Disney’s The Jungle Book (© 2016 Disney). A destroyer and the Death Star from Lucasfilm’s Rogue One: A Star Wars Story (© & ™ 2016 Lucasfilm Ltd. All rights reserved. Used under authorization.) Pixar’s RenderMan renderer is used to render all of Pixar’s films, and by many 1 INTRODUCTION film studios to render visual effects for live-action movies. RenderMan started Pixar’s movies and short films are all rendered with RenderMan. as a scanline renderer based on the Reyes algorithm, and was extended over The first computer-generated (CG) animated feature film, Toy Story, the years with ray tracing and several global illumination algorithms. was rendered with an early version of RenderMan in 1995. The most This paper describes the modern version of RenderMan, a new architec- ture for an extensible and programmable path tracer with many features recent Pixar movies – Finding Dory, Cars 3, and Coco – were rendered that are essential to handle the fiercely complex scenes in movie production. using RenderMan’s modern path tracing architecture. The two left Users can write their own materials using a bxdf interface, and their own images in Figure 1 show high-quality rendering of two challenging light transport algorithms using an integrator interface – or they can use the CG movie scenes with many bounces of specular reflections and materials and light transport algorithms provided with RenderMan. -
Getting Started (Pdf)
GETTING STARTED PHOTO REALISTIC RENDERS OF YOUR 3D MODELS Available for Ver. 1.01 © Kerkythea 2008 Echo Date: April 24th, 2008 GETTING STARTED Page 1 of 41 Written by: The KT Team GETTING STARTED Preface: Kerkythea is a standalone render engine, using physically accurate materials and lights, aiming for the best quality rendering in the most efficient timeframe. The target of Kerkythea is to simplify the task of quality rendering by providing the necessary tools to automate scene setup, such as staging using the GL real-time viewer, material editor, general/render settings, editors, etc., under a common interface. Reaching now the 4th year of development and gaining popularity, I want to believe that KT can now be considered among the top freeware/open source render engines and can be used for both academic and commercial purposes. In the beginning of 2008, we have a strong and rapidly growing community and a website that is more "alive" than ever! KT2008 Echo is very powerful release with a lot of improvements. Kerkythea has grown constantly over the last year, growing into a standard rendering application among architectural studios and extensively used within educational institutes. Of course there are a lot of things that can be added and improved. But we are really proud of reaching a high quality and stable application that is more than usable for commercial purposes with an amazing zero cost! Ioannis Pantazopoulos January 2008 Like the heading is saying, this is a Getting Started “step-by-step guide” and it’s designed to get you started using Kerkythea 2008 Echo. -
Sony Pictures Imageworks Arnold
Sony Pictures Imageworks Arnold CHRISTOPHER KULLA, Sony Pictures Imageworks ALEJANDRO CONTY, Sony Pictures Imageworks CLIFFORD STEIN, Sony Pictures Imageworks LARRY GRITZ, Sony Pictures Imageworks Fig. 1. Sony Imageworks has been using path tracing in production for over a decade: (a) Monster House (©2006 Columbia Pictures Industries, Inc. All rights reserved); (b) Men in Black III (©2012 Columbia Pictures Industries, Inc. All Rights Reserved.) (c) Smurfs: The Lost Village (©2017 Columbia Pictures Industries, Inc. and Sony Pictures Animation Inc. All rights reserved.) Sony Imageworks’ implementation of the Arnold renderer is a fork of the and robustness of path tracing indicated to the studio there was commercial product of the same name, which has evolved independently potential to revisit the basic architecture of a production renderer since around 2009. This paper focuses on the design choices that are unique which had not evolved much since the seminal Reyes paper [Cook to this version and have tailored the renderer to the specic requirements of et al. 1987]. lm rendering at our studio. We detail our approach to subdivision surface After an initial period of co-development with Solid Angle, we tessellation, hair rendering, sampling and variance reduction techniques, decided to pursue the evolution of the Arnold renderer indepen- as well as a description of our open source texturing and shading language components. We also discuss some ideas we once implemented but have dently from the commercially available product. This motivation since discarded to highlight the evolution of the software over the years. is twofold. The rst is simply pragmatic: software development in service of lm production must be responsive to tight deadlines CCS Concepts: • Computing methodologies → Ray tracing; (less the lm release date than internal deadlines determined by General Terms: Graphics, Systems, Rendering the production schedule). -
Semantic Segmentation of Surface from Lidar Point Cloud 3
Noname manuscript No. (will be inserted by the editor) Semantic Segmentation of Surface from Lidar Point Cloud Aritra Mukherjee1 · Sourya Dipta Das2 · Jasorsi Ghosh2 · Ananda S. Chowdhury2 · Sanjoy Kumar Saha1 Received: date / Accepted: date Abstract In the field of SLAM (Simultaneous Localization And Mapping) for robot navigation, mapping the environment is an important task. In this regard the Lidar sensor can produce near accurate 3D map of the environment in the format of point cloud, in real time. Though the data is adequate for extracting information related to SLAM, processing millions of points in the point cloud is computationally quite expensive. The methodology presented proposes a fast al- gorithm that can be used to extract semantically labelled surface segments from the cloud, in real time, for direct navigational use or higher level contextual scene reconstruction. First, a single scan from a spinning Lidar is used to generate a mesh of subsampled cloud points online. The generated mesh is further used for surface normal computation of those points on the basis of which surface segments are estimated. A novel descriptor to represent the surface segments is proposed and utilized to determine the surface class of the segments (semantic label) with the help of classifier. These semantic surface segments can be further utilized for geometric reconstruction of objects in the scene, or can be used for optimized tra- jectory planning by a robot. The proposed methodology is compared with number of point cloud segmentation methods and state of the art semantic segmentation methods to emphasize its efficacy in terms of speed and accuracy. -
2014 3-4 Acta Graphica.Indd
Vidmar et al.: Performance Assessment of Three Rendering..., acta graphica 25(2014)3–4, 101–114 author viewpoint acta graphica 234 Performance Assessment of Three Rendering Engines in 3D Computer Graphics Software Authors Žan Vidmar, Aleš Hladnik, Helena Gabrijelčič Tomc* University of Ljubljana Faculty of Natural Sciences and Engineering Slovenia *E-mail: [email protected] Abstract: The aim of the research was the determination of testing conditions and visual and numerical evaluation of renderings made with three different rendering engines in Maya software, which is widely used for educational and computer art purposes. In the theoretical part the overview of light phenomena and their simulation in virtual space is presented. This is followed by a detailed presentation of the main rendering methods and the results and limitations of their applications to 3D ob- jects. At the end of the theoretical part the importance of a proper testing scene and especially the role of Cornell box are explained. In the experimental part the terms and conditions as well as hardware and software used for the research are presented. This is followed by a description of the procedures, where we focused on the rendering quality and time, which enabled the comparison of settings of different render engines and determination of conditions for further rendering of testing scenes. The experimental part continued with rendering a variety of simple virtual scenes including Cornell box and virtual object with different materials and colours. Apart from visual evaluation, which was the starting point for comparison of renderings, a procedure for numerical estimation and colour deviations of ren- derings using the selected regions of interest in the final images is presented. -
Simulations and Visualisations with the VI-Suite
Simulations and Visualisations with the VI-Suite For VI-Suite Version 0.6 (document version 0.6.0.1) Dr Ryan Southall - School of Architecture & Design - University of Brighton. Contents 1 Introduction .............................................. 3 2 Installation .............................................. 3 3 Configuration ............................................. 4 4 The VI-Suite Interface ........................................ 5 4.1 Changes from v0.4 ...................................... 5 4.2 Collections .......................................... 5 4.3 File structure ......................................... 5 4.4 The Node System ....................................... 5 4.4.1 VI-Suite Nodes .................................. 6 4.4.2 EnVi Material nodes ................................ 7 4.4.3 EnVi Network nodes ................................ 7 4.5 Other panels ......................................... 8 4.5.1 Object properties panel .............................. 8 4.5.2 Material properties panel ............................. 9 4.5.3 Visualisation panel ................................. 10 4.6 Common Nodes ....................................... 11 4.6.1 The VI Location node ............................... 11 4.6.2 The ASC Import node ............................... 11 4.6.3 The VI Chart node ................................. 12 4.6.4 The VI CSV Export node ............................. 12 4.6.5 The Text Edit Node ................................ 13 4.6.6 The VI Metrics node ................................ 13 4.7 Specific