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arXiv Computer Vision By Janarbek Matai, Sho Ikeda, Lukasz Lipski, Takahiro Harada

Thread-Efficient Decoding for Neural Texture Compression

Read the original on arXiv Computer Vision →

Thread‑Efficient Decoding for Neural Texture Compression proposes a shared decoder MLP architecture trained with a gradual decoder freezing schedule and texture clustering to reduce GPU thread divergence by 25‑52%. The method preserves rendering quality while achieving up to 8.48× speedup on a Radeon RX 9070 XT compared to non‑shared baselines. Experiments on over 500 textures and multiple real rendering scenes validate the performance gains and provide comprehensive ablation studies.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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