NDLI: Depth buffer compression for stochastic motion blur rasterization

Please wait, while we are loading the content...

SSLPV: subsurface light propagation volumes

Voxelized shadow volumes

Simpler and faster HLBVH with work queues

High-performance software rasterization on GPUs

Hierarchical stochastic motion blur rasterization

Farthest-point optimized point sets with maximized minimum distance

Precision selection for energy-efficient pixel shaders

Real-time diffuse global illumination using radiance hints

Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU

MSBVH: an efficient acceleration data structure for ray traced motion blur

Randomized selection on the GPU

Adaptive transparency

An inexpensive bounding representation for offsets of quadratic curves

Primitive processing and advanced shading architecture for embedded space

The alchemy screen-space ambient obscurance algorithm

Active thread compaction for GPU path tracing

SAH KD-tree construction on GPU

VoxelPipe: a programmable pipeline for 3D voxelization

Depth buffer compression for stochastic motion blur rasterization

Rapid simplification of multi-attribute meshes

Lossless compression of already compressed textures

Depth buffer compression for stochastic motion blur rasterization

Content Provider	ACM Digital Library
Author	Hasselgren, Jon Akenine-Möller, Tomas Andersson, Magnus
Abstract	Previous depth buffer compression schemes are tuned for compressing depths values generated when rasterizing static triangles. They provide generous bandwidth usage savings, and are of great importance to graphics processors. However, stochastic rasterization for motion blur and depth of field is becoming a reality even for real-time graphics, and previous depth buffer compression algorithms fail to compress such buffers due to the irregularity of the positions and depths of the rendered samples. Therefore, we present a new algorithm that targets compression of scenes rendered with stochastic motion blur rasterization. If possible, our algorithm fits a single time-dependent predictor function for all the samples in a tile. However, sometimes the depths are localized in more than one layer, and we therefore apply a clustering algorithm to split the tile of samples into two layers. One time-dependent predictor function is then created per layer. The residuals between the predictor and the actual depths are then stored as delta corrections. For scenes with moderate motion, our algorithm can compress down to 65% compared to 75% for the previously best algorithm for stochastic buffers.
Starting Page	127
Ending Page	134
Page Count	8
File Format	PDF
ISBN	9781450308960
DOI	10.1145/2018323.2018343
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-08-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Stochastic rasterization Depth buffer compression Motion blur
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Hierarchical stochastic motion blur rasterization

Analytical motion blur rasterization with compression

Hierarchical stochastic motion blur rasterization (2011)

Theory and analysis of higher-order motion blur rasterization

Micropolygon ray tracing with defocus and motion blur

P.: Data-parallel rasterization of micropolygons with defocus and motion blur

Data-parallel rasterization of micropolygons with defocus and motion blur

Hardware implementation of micropolygon rasterization with motion and defocus blur

1 Clip Space Sample Culling for Motion Blur and Defocus Blur

Depth buffer compression for stochastic motion blur rasterization

Similar Documents

Hierarchical stochastic motion blur rasterization

Analytical motion blur rasterization with compression

Hierarchical stochastic motion blur rasterization (2011)

Theory and analysis of higher-order motion blur rasterization

Micropolygon ray tracing with defocus and motion blur

P.: Data-parallel rasterization of micropolygons with defocus and motion blur

Data-parallel rasterization of micropolygons with defocus and motion blur

Hardware implementation of micropolygon rasterization with motion and defocus blur

1 Clip Space Sample Culling for Motion Blur and Defocus Blur

Depth buffer compression for stochastic motion blur rasterization