English(EN) Neural Texture Compression using Hypernetworks

超网络用于神经纹理压缩以实现实时解码

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-25 11:52

研究人员开发了一种使用超网络进行神经纹理压缩的新颖方法。该方法训练单个超网络来生成潜在特征以及多层感知器（MLP）解码器的权重/偏置。该技术实现了与现有神经纹理压缩器相当的质量，同时有可能实现实时解码和超分辨率功能。 AI

影响该方法可以实现图形应用中更高效的实时纹理渲染。

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AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Belcour Laurent · 2026-06-26 04:00

使用超网络进行神经纹理压缩

arXiv:2606.26913v1 Announce Type: cross Abstract: Recent work on neural texture compression has demonstrated that it is possible to learn small, per-material texture representations (composed of latent textures and a small Multi-Layer Perceptron decoder) that can be decoded in re…
arXiv cs.CV TIER_1 English(EN) · Belcour Laurent · 2026-06-25 11:52

使用超网络进行神经纹理压缩

Recent work on neural texture compression has demonstrated that it is possible to learn small, per-material texture representations (composed of latent textures and a small Multi-Layer Perceptron decoder) that can be decoded in real-time during shading to reproduce the input to a…