Ray Tracer based rendering solution for large scale fluid rendering

Brito, Caio; Silva, Andre Luiz Buarque Vieira e; Teixeira, João Marcelo X. N.; Teichrieb, Verônica

doi:10.1016/j.cag.2018.09.019

Cited by 4 publications

(4 citation statements)

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“…All surveyed particle-based methods exhibit real-time frame rates with single layer depth map [96], [102], [103], [105] as well as double layer front-and back-face depth maps [98]. Additionally, foam and fluid separated particle depth maps [100] including up to four layer depth [99] and up to seven layer depth maps with particle interreflections [53] are also supported in real-time or interactive frame rates.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…The voxels were traversed to find up to seven levels of continuous fluid surfaces based on neighboring voxel cells, and finally the extracted and linked surface cells were smoothed with an iterative curvature flow kernel to produce continuous and smooth intersectable surfaces. Finally, a modern implementation with the Nvidia OptiX ray tracing framework [104] and a CUDA-based GPU rendering system was presented in in [105].…”

Section: Real-time Particle-and Fluid-based Methodsmentioning

confidence: 99%

“…The dividing factor between these methods, however, is the approach to refractions. [96], [97], [100], [102], [103] produce refractions only by sampling the environment map whereas [53], [98], [99], [105] also refract light from other objects in the scene including intra-refractions. Furthermore, the number of interaction layers used for refraction varies between the methods with [97], [98] having dual layer refractions and [53], [99] having up to 4-layer refractions.…”

Section: ) Supported Photorealismmentioning

confidence: 99%

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Real-Time Rendering of Point Clouds With Photorealistic Effects: A Survey

et al. 2022

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Readily available RGB-D cameras in smart phones and improving 3D scanning technologies have made it possible to produce detailed point cloud and point-based models of real world objects even in real time. Rendering such models in high quality and at satisfactory frame rates is needed for realistic extended reality (XR) applications. This publication reviews real-time photorealistic point cloud rendering methods which directly ray trace or rasterize point cloud models, with an emphasis on ray tracing and realtime performance. We found that real-time direct point cloud ray tracing research has been focused on static non-animated content, and thus, open research possibilities include adapting modern dedicated ray tracing hardware for increased performance for animated and live captured scenes, and adding path tracing techniques to increase photorealistic effects in the rendering result. A categorization and discussion on the capabilities of state-of-the-art photorealistic point cloud rendering methods is presented by surveying both real-time and offline methods, which are assumed to become real-time capable with the advances in near-future hardware. Challenges and future trends are derived by comparing different rasterization and ray tracing methods as well as acceleration structures for point clouds in terms of produced rendering effects and speed.

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Section: Summary and Discussionmentioning

confidence: 99%

Section: Real-time Particle-and Fluid-based Methodsmentioning

confidence: 99%

Section: ) Supported Photorealismmentioning

confidence: 99%

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Real-Time Rendering of Point Clouds With Photorealistic Effects: A Survey

et al. 2022

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“…The approach by Hochstetter et al [HOK16] uses an adaptive sampling scheme to perform volume rendering of dynamic particle sets driven by a user‐controlled screen space error tolerance. Dos Santos Brito et al [dSBVeSTT18] presented a ray tracing method for particle data that achieves several frames per second for millions of particles. Zirr and Dachsbacher [ZD18] proposed an on‐the‐fly voxelization method for particle data as well as an accelerated ray casting approach for rendering that achieves a considerable speedup compared to the method by Fraedrich et al [FAW10].…”

Section: Related Workmentioning

confidence: 99%

Dynamic Visibility‐Driven Molecular Surfaces

Brückner

2019

Computer Graphics Forum

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Molecular surface representations are an important tool for the visual analysis of molecular structure and function. In this paper, we present a novel method for the visualization of dynamic molecular surfaces based on the Gaussian model. In contrast to previous approaches, our technique does not rely on the construction of intermediate representations such as grids or triangulated surfaces. Instead, it operates entirely in image space, which enables us to exploit visibility information to efficiently skip unnecessary computations. With this visibility‐driven approach, we can visualize dynamic high‐quality surfaces for molecules consisting of millions of atoms. Our approach requires no preprocessing, allows for the interactive adjustment of all properties and parameters, and is significantly faster than previous approaches, while providing superior quality.

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