QIRF Quantum-Inspired Non-Orthogonal Function-Space Compression for 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) achieves high-quality real-time rendering by representing a scene with a large collection of anisotropic Gaussian primitives. However, complex scenes often require millions of Gaussians, resulting in substantial storage and rendering costs. Existing compression methods mainly reduce redundancy through primitive-wise pruning, attribute quantization, clustering, or neural coding, while redundancy caused by strongly overlapping and non-orthogonal Gaussian basis functions remains largely unexplored. We present QIRF, a quantum-inspired non-orthogonal function-space comp
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- FuzzyOverlapping authors or contributors · 62%affaan-m/ECC →
“Shared author/contributor keys: jiang”
- FuzzyOverlapping authors or contributors · 62%BerriAI/litellm →
“Shared author/contributor keys: jiang”
- LinkedLinked via arxiv author · 85%Shizeng Jiang →
“QIRF Quantum-Inspired Non-Orthogonal Function-Space Compression for 3D Gaussian Splatting”
- LinkedLinked via arxiv author · 85%Qinghao Zhang →
“QIRF Quantum-Inspired Non-Orthogonal Function-Space Compression for 3D Gaussian Splatting”
- LinkedLinked via arxiv author · 85%Xuerui Ma →
“QIRF Quantum-Inspired Non-Orthogonal Function-Space Compression for 3D Gaussian Splatting”
- LinkedLinked via arxiv author · 85%Xuying Huang →
“QIRF Quantum-Inspired Non-Orthogonal Function-Space Compression for 3D Gaussian Splatting”
- LinkedLinked via arxiv author · 85%Tiantao Zhang →
“QIRF Quantum-Inspired Non-Orthogonal Function-Space Compression for 3D Gaussian Splatting”
- PossiblePossibly related (embedding) · 50%Researchers Develop Machine Learning Framework for Wigner Function Reconstruction from Sparse Data - Quantum Zeitgeist →