Random-Access Neural Compression of Material Textures
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Abstract (arXiv)
The continuous advancement of photorealism in rendering is accompanied by a growth in texture data and, consequently, increasing storage and memory demands. To address this issue, we propose a novel neural compression technique specifically designed for material textures. We unlock two more levels of detail, i.e., 16x more texels, using low bitrate compression, with image quality that is better than advanced image compression techniques, such as AVIF and JPEG XL. At the same time, our method allows on-demand, real-time decompression with random access similar to block texture compression on GPUs, enabling compression on disk and memory. The key idea behind our approach is compressing multiple material textures and their mipmap chains together, and using a small neural network, that is optimized for each material, to decompress them. Finally, we use a custom training implementation to achieve practical compression speeds, whose performance surpasses that of general frameworks, like PyTorch, by an order of magnitude.
Key facts. Cited by 23 papers in the map (data through 14 Oct 2026). Builds on 32 of its 97 references that are in the map. First posted on arXiv 26 May 2023.
Builds on
32 of 97 references.
References · 32
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20 more
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Citing papers per year: 2023: 5; 2024: 5; 2025: 5; 2026: 8.
23 papers.
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- 2024Image-GS: Content-Adaptive Image Representation via 2D Gaussianscited by 35
- 2023Compact Neural Graphics Primitives with Learned Hash Probingcited by 19
- 2025Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splattingcited by 18
- 2024Filtering After Shading With Stochastic Texture Filteringcited by 5
- 2023Real-Time Neural BRDF with Spherically Distributed Primitivescited by 4
- 2023Real-Time Neural Materials using Block-Compressed Featurescited by 4
- 2023GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Texturescited by 3
- 2024Neural Product Importance Sampling via Warp Compositioncited by 3
- 2026VideoMatGen: PBR Materials through Joint Generative Modelingcited by 3
- 2023Efficient Graphics Representation with Differentiable Indirectioncited by 2
- 2024Implicit Neural Representation of Tileable Material Texturescited by 2
- 2024Neural Graphics Texture Compression Supporting Random Accesscited by 2
11 more
- 2025Mesh Compression with Quantized Neural Displacement Fieldscited by 2
- 2026Lattice-based Deep Neural Networks: Regularity and Tailored Regularizationcited by 2
- 2025Improved Stochastic Texture Filtering Through Sample Reusecited by 1
- 2025ReFrame: Layer Caching for Accelerated Inference in Real-Time Renderingcited by 0
- 2025Collaborative Texture Filteringcited by 0
- 2026Neural Dynamic GI: Random-Access Neural Compression for Temporal Lightmaps in Dynamic Lighting Environmentscited by 0
- 2026PEPS: Positional Encoding Projected Sampling -- Extendedcited by 0
- 2026VUDA: Enabling Controlled Spatial Sharing of Graphics and Compute on NVIDIA GPUscited by 0
- 2026Neural Texture Compression using Hypernetworkscited by 0
- 2026Thread-Efficient Decoding for Neural Texture Compressioncited by 0
- 2026PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decodingcited by 0
- 2026PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding8 Sep 2026
- 2026Thread-Efficient Decoding for Neural Texture Compression28 Aug 2026
- 2026Neural Texture Compression using Hypernetworks25 Jun 2026
- 2026VUDA: Enabling Controlled Spatial Sharing of Graphics and Compute on NVIDIA GPUs2 May 2026
- 2026PEPS: Positional Encoding Projected Sampling -- Extended27 Apr 2026
- 2026Neural Dynamic GI: Random-Access Neural Compression for Temporal Lightmaps in Dynamic Lighting Environments14 Apr 2026
- 2026VideoMatGen: PBR Materials through Joint Generative Modeling17 Mar 2026
- 2026Lattice-based Deep Neural Networks: Regularity and Tailored Regularization3 Mar 2026
- 2025Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting30 Jun 2025
- 2025Collaborative Texture Filtering21 Jun 2025
- 2025ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering14 Jun 2025
- 2025Improved Stochastic Texture Filtering Through Sample Reuse7 Apr 2025
11 more
- 2025Mesh Compression with Quantized Neural Displacement Fields28 Mar 2025
- 2024Neural Product Importance Sampling via Warp Composition12 Sep 2024
- 2024Image-GS: Content-Adaptive Image Representation via 2D Gaussians2 Jul 2024
- 2024Filtering After Shading With Stochastic Texture Filtering14 May 2024
- 2024Neural Graphics Texture Compression Supporting Random Access6 May 2024
- 2024Implicit Neural Representation of Tileable Material Textures3 Feb 2024
- 2023Compact Neural Graphics Primitives with Learned Hash Probing28 Dec 2023
- 2023GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Textures28 Nov 2023
- 2023Real-Time Neural Materials using Block-Compressed Features26 Oct 2023
- 2023Real-Time Neural BRDF with Spherically Distributed Primitives12 Oct 2023
- 2023Efficient Graphics Representation with Differentiable Indirection12 Sep 2023
- 2026VideoMatGen: PBR Materials through Joint Generative Modeling17 Mar 2026
- 2024Image-GS: Content-Adaptive Image Representation via 2D Gaussianscited by 35
- 2023Compact Neural Graphics Primitives with Learned Hash Probingcited by 19
- 2025Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splattingcited by 18
- 2024Filtering After Shading With Stochastic Texture Filteringcited by 5
- 2023Real-Time Neural BRDF with Spherically Distributed Primitivescited by 4
- 2023Real-Time Neural Materials using Block-Compressed Featurescited by 4
- 2023GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Texturescited by 3
- 2024Neural Product Importance Sampling via Warp Compositioncited by 3
- 2023Efficient Graphics Representation with Differentiable Indirectioncited by 2
- 2024Implicit Neural Representation of Tileable Material Texturescited by 2
- 2024Neural Graphics Texture Compression Supporting Random Accesscited by 2
- 2025Mesh Compression with Quantized Neural Displacement Fieldscited by 2
12 most cited of 22 All 22 (JSON)
- 2026PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding8 Sep 2026
- 2026Thread-Efficient Decoding for Neural Texture Compression28 Aug 2026
- 2026Neural Texture Compression using Hypernetworks25 Jun 2026
- 2026VUDA: Enabling Controlled Spatial Sharing of Graphics and Compute on NVIDIA GPUs2 May 2026
- 2026PEPS: Positional Encoding Projected Sampling -- Extended27 Apr 2026
- 2026Neural Dynamic GI: Random-Access Neural Compression for Temporal Lightmaps in Dynamic Lighting Environments14 Apr 2026
- 2026Lattice-based Deep Neural Networks: Regularity and Tailored Regularization3 Mar 2026
- 2025Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting30 Jun 2025
- 2025Collaborative Texture Filtering21 Jun 2025
- 2025ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering14 Jun 2025
- 2025Improved Stochastic Texture Filtering Through Sample Reuse7 Apr 2025
- 2025Mesh Compression with Quantized Neural Displacement Fields28 Mar 2025
12 newest of 22 All 22 (JSON)
Similar, not cited
Close in wording, no citation either way
- 2026Beyond UV Mapping: Mesh Texture Compression via Surface-Aligned Texture Fields
- 2026Rate-Adaptive One-Step Diffusion Compression for AIGC Images
- 2026Compression of 3D Gaussian Splatting Data Using GPU-friendly Graphics Texture Coding
- 2024Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
- 2023You Can Mask More For Extremely Low-Bitrate Image Compression
- 2023Towards image compression with perfect realism at ultra-low bitrates
- 2024LDM: Large Tensorial SDF Model for Textured Mesh Generation
- 2021COIN: COmpression with Implicit Neural representations