Neural Texture Block Compression
<|reference_start|>Neural Texture Block Compression: Block 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 70% less storage footprint, preserving real-time performance with a modest computational overhead at the texture loading phase in the graphics pipeline.<|reference_end|>
@article{fujieda2024neural,
    title={Neural Texture Block Compression},
    author={Shin Fujieda, Takahiro Harada},
    journal={Workshop on Joint MAM - MANER Conference (2024)},
    year={2024},
    doi={10.2312/mam.20241178},
    archivePrefix={arXiv},
    eprint={2407.09543},
    primaryClass={eess.IV cs.GR}
}