Geometry‐Aware Framebuffer Level of Detail

Yang, Lei; Sander, Pedro V.; Lawrence, Jason

doi:10.1111/j.1467-8659.2008.01256.x

Cited by 28 publications

(30 citation statements)

References 19 publications

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“…Variable Shading Rates. Yang et al [2008] apply global levelof-detail per frame in a general real-time rendering system by rendering a subsampled image and using edge-preserving upsampling to the final resolution. Several earlier authors have also described adaptive subsampling and intelligent upsampling in particular use cases.…”

Section: Decoupled Shading and Reusementioning

confidence: 99%

Decoupled sampling for graphics pipelines

et al. 2011

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and FRÉDO DURAND MIT CSAILWe propose a generalized approach to decoupling shading from visibility sampling in graphics pipelines, which we call decoupled sampling. Decoupled sampling enables stochastic supersampling of motion and defocus blur at reduced shading cost, as well as controllable or adaptive shading rates which trade off shading quality for performance. It can be thought of as a generalization of multisample antialiasing (MSAA) to support complex and dynamic mappings from visibility to shading samples, as introduced by motion and defocus blur and adaptive shading. It works by defining a many-to-one hash from visibility to shading samples, and using a buffer to memoize shading samples and exploit reuse across visibility samples. Decoupled sampling is inspired by the Reyes rendering architecture, but like traditional graphics pipelines, it shades fragments rather than micropolygon vertices, decoupling shading from the geometry sampling rate. Also unlike Reyes, decoupled sampling only shades fragments after precise computation of visibility, reducing over-shading.We present extensions of two modern graphics pipelines to support decoupled sampling: a GPU-style sort-last fragment architecture, and a Larrabee-style sort-middle pipeline. We study the architectural implications of decoupled sampling and blur, and derive end-to-end performance estimates on real applications through an instrumented functional simulator. We demonstrate high-quality motion and defocus blur, as well as variable and adaptive shading rates.

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Section: Decoupled Shading and Reusementioning

confidence: 99%

Decoupled sampling for graphics pipelines

et al. 2011

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“…In our case, however, we do not rely on random or error driven sparse pixel sampling, but we group pixel batches in sub-frames aligned on a quincunx lattice, in order to avoid destroying neighboring ray coherence. Our method also bears a number of similarities with interleaved sampling [20,23,10], which reconstructs a smooth approximation of some shading component from an estimate based on a subset of the pixels.…”

Section: Related Workmentioning

confidence: 99%

View-dependent exploration of massive volumetric models on large-scale light field displays

2010

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We report on a light-field display based virtual environment enabling multiple naked-eye users to perceive detailed multi-gigavoxel volumetric models as floating in space, responsive to their actions, and delivering different information in different areas of the workspace. Our contributions include a set of specialized interactive illustrative techniques able to provide different contextual information in different areas of the display, as well as an out-of-core CUDA based raycasting engine with a number of improvements over current GPU volume raycasters. The possibilities of the system are demonstrated by the multi-user interactive exploration of 64GVoxels datasets on a 35MPixel light field display driven by a cluster of PCs.

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“…This effectively reduces the shading cost in a spatially consistent manner that facilitates upsampling. The newly shaded samples are upsampled as in Yang et al (2008), keeping the bilateral weights. Then the previously stored payload (with full resolution) is reprojected to the current frame, and blend with the upsampled new contribution using…”

Section: Spatio-temporal Upsamplingmentioning

confidence: 99%

Exploiting temporal coherence in real-time rendering

Scherzer

Yang

Mattausch

2010

ACM SIGGRAPH ASIA 2010 Courses

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Temporal coherence (TC), the correlation of contents between adjacent rendered frames, exists across a wide range of scenes and motion types in practical real-time rendering. By taking advantage of TC, we can save redundant computation and improve the performance of many rendering tasks significantly with only a marginal decrease in quality. This not only allows us to incorporate more computationally intensive shading effects to existing applications, but also offers exciting opportunities of extending high-end graphics applications to reach lower-spec consumer-level hardware.This course aims to introduce participants to the concepts of TC, and provide them the working practical and theoretical knowledge to exploit TC in a variety of shading tasks. It begins with an introduction of the general notion of TC in rendering, as well as an overview of the recent developments in this field. Then it focuses on a key data structure -the reverse reprojection cache, which is the foundation of many applications. The course proceeds with a number of extensions of the basic algorithm for assisting in multi-pass shading effects, shader antialiasing, casting shadows and globalillumination effects. Finally, several more general coherence topics beyond pixel reuse are introduced, including visibility culling optimization and object-space global-illumination approximations. For all the major techniques and applications covered, implementation and practical issues involved in development are addressed in detail.In general, we emphasize "know how" and the guidelines related to algorithm choices. After the course, participants are encouraged to find and utilize TC in their own applications and rapidly adapt existing algorithms to meet their requirements.The version of the course notes you are currently reading was created at September 23, 2010. The newest version of these course notes can be downloaded from this URL. Course PrerequisitesThis course should give a computer graphics practitioner, student or researcher the working and theoretical knowledge to implement state-of-the-art temporal coherence techniques. The content of this course is delivered by talks and course notes. Prerequisites incldue knowledge of basic real-time computer graphics, such as programmable shading pipeline, model transformation, rasterization and texture mapping. Experience in writing vertex and fragment shaders is preferred.

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Geometry‐Aware Framebuffer Level of Detail

Cited by 28 publications

References 19 publications

Decoupled sampling for graphics pipelines

Decoupled sampling for graphics pipelines

View-dependent exploration of massive volumetric models on large-scale light field displays

Exploiting temporal coherence in real-time rendering

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