Order-Independent Transparency for Programmable Deferred Shading Pipelines

In this paper we propose a novel and efficient rasterization‐based approach for direct rendering of isosurfaces. Our method exploits the capabilities of task and mesh shader pipelines to identify subvolumes containing potentially visible isosurface geometry, and to efficiently extract primitives which are consumed on the fly by the rasterizer. As a result, our approach requires little preprocessing and negligible additional memory. Direct isosurface rasterization is competitive in terms of rendering performance when compared with ray‐marching‐based approaches, and significantly outperforms them for increasing resolution in most situations. Since our approach is entirely rasterization based, it affords straightforward integration into existing rendering pipelines, while allowing the use of modern graphics hardware features, such as multi‐view stereo for efficient rendering of stereoscopic image pairs for geometry‐bound applications. Direct isosurface rasterization is suitable for applications where isosurface geometry is highly variable, such as interactive analysis scenarios for static and dynamic data sets that require frequent isovalue adjustment.

Section: Discussionmentioning

confidence: 99%

Efficient Direct Isosurface Rasterization of Scalar Volumes

Kreskowski

Rendle

Froehlich

2022

“…Since this application encompasses a large body of research, this report concentrates mainly on research publications with an emphasis on notable recent advances and refers the interested reader to the comprehensive survey by Maule et al [MCTB11] for more information on this specific topic. While A‐buffer solutions produce accurate results, storing the entire fragment list of transparent objects in memory can quickly exhaust GPU resources in real‐time applications, since the number of primitives in hair [YYH∗12, JCLR19] or computer‐aided design (CAD) models [SBF15, MBG16] (Fig. 12) can be quite large.…”

Section: Applicationsmentioning

confidence: 99%

“…Shading is deferred to a later stage, where lower quality shading computations are applied at the furthest fragments. Finally, Schollmeyer et al [SBF15] went a step further and proposed a complete deferred shading pipeline that accommodates MFR and OIT.…”

Section: Order-independent Transparency (Oit)mentioning

confidence: 99%

A Survey of Multifragment Rendering

Vasilakis

Vardis

Παπαϊωάννου

2020

In the past few years, advances in graphics hardware have fuelled an explosion of research and development in the field of interactive and real‐time rendering in screen space. Following this trend, a rapidly increasing number of applications rely on multifragment rendering solutions to develop visually convincing graphics applications with dynamic content. The main advantage of these approaches is that they encompass additional rasterised geometry, by retaining more information from the fragment sampling domain, thus augmenting the visibility determination stage. With this survey, we provide an overview of and insight into the extensive, yet active research and respective literature on multifragment rendering. We formally present the multifragment rendering pipeline, clearly identifying the construction strategies, the core image operation categories and their mapping to the respective applications. We describe features and trade‐offs for each class of techniques, pointing out GPU optimisations and limitations and provide practical recommendations for choosing an appropriate method for each application. Finally, we offer fruitful context for discussion by outlining some existing problems and challenges as well as by presenting opportunities for impactful future research directions.

“…Texture coordinates are used to generate normals. After performing the depth test, all necessary information is written to the G Buffer for lighting calculation in a post‐processing step (deferred shading [PFG05, Lau10, SBF15]).…”

Section: Autonomous Particlesmentioning

confidence: 99%

Autonomous Particles for Interactive Flow Visualization

Engelke¹,

Lawonn

Preim

et al. 2018

We present an interactive approach to analyse flow fields using a new type of particle system, which is composed of autonomous particles exploring the flow. While particles provide a very intuitive way to visualize flows, it is a challenge to capture the important features with such systems. Particles tend to cluster in regions of low velocity and regions of interest are often sparsely populated. To overcome these disadvantages, we propose an automatic adaption of the particle density with respect to local importance measures. These measures are user defined and the systems sensitivity to them can be adjusted interactively. Together with the particle history, these measures define a probability for particles to multiply or die, respectively. There is no communication between the particles and no neighbourhood information has to be maintained. Thus, the particles can be handled in parallel and support a real‐time investigation of flow fields. To enhance the visualization, the particles' properties and selected field measures are also used to specify the systems rendering parameters, such as colour and size. We demonstrate the effectiveness of our approach on different simulated vector fields from technical and medical applications.