Neural Texture Block Compression

dc.contributor.authorFujieda, Shinen_US
dc.contributor.authorHarada, Takahiroen_US
dc.contributor.editorHardeberg, Jon Yngveen_US
dc.contributor.editorRushmeier, Hollyen_US
dc.date.accessioned2024-08-28T06:31:59Z
dc.date.available2024-08-28T06:31:59Z
dc.date.issued2024
dc.description.abstractBlock compression is a widely used technique to compress textures in real-time graphics applications, offering a reduction in storage size. However, their storage efficiency is constrained by the fixed compression ratio, which substantially increases storage size when hundreds of high-quality textures are required. In this paper, we propose a novel block texture compression method with neural networks, Neural Texture Block Compression (NTBC). NTBC learns the mapping from uncompressed textures to block-compressed textures, which allows for significantly reduced storage costs without any change in the shaders. Our experiments show that NTBC can achieve reasonable-quality results with up to about 45% less storage footprint, preserving real-time performance with a modest computational overhead at the texture loading phase in the graphics pipeline.en_US
dc.description.sectionheadersRepresentation / Capture / Wave Optics
dc.description.seriesinformationWorkshop on Material Appearance Modeling
dc.description.seriesinformationJoint MAM - MANER Conference - Material Appearance Network for Education and Research
dc.identifier.doi10.2312/mam.20241178
dc.identifier.isbn978-3-03868-264-6
dc.identifier.issn2309-5059
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/mam.20241178
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/mam20241178
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Image compression; Texturing; Image representations
dc.subjectComputing methodologies → Image compression
dc.subjectTexturing
dc.subjectImage representations
dc.titleNeural Texture Block Compressionen_US
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