ColorGradedGaussians: Palette-Based Color Grading for 3D Gaussian Splatting via View-Space Sparse Decomposition
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866918425288245248 |
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| author | Chao, Cheng-Kang Ted Gingold, Yotam |
| author_facet | Chao, Cheng-Kang Ted Gingold, Yotam |
| contents | Professional color editing requires precise control over both color (hue and saturation) and lightness, ideally through separate, independent controls. We present a real-time interactive color editing framework for 3D Gaussian Splatting (3DGS) that enables palette-based recoloring, per-palette tone curves for color-aware lightness adjustment, and accurate pixel-level constraints -- capabilities unavailable in prior palette-based 3DGS methods. Existing approaches decompose colors at the primitive level, optimizing per-Gaussian palette weights before splatting. However, sparse primitive-level weights do not guarantee sparse pixel-level decompositions after alpha-blending, causing palette edits to affect unintended regions and degrading editing quality. We address this through view-space palette decomposition, splatting weights instead of colors to optimize the observable appearance of the scene. We introduce a geometric loss using inverse barycentric coordinates to enforce consistent sparsity patterns, ensuring similar colors share similar decompositions. Our approach achieves superior editing quality compared to primitive-space methods, enabling professional color grading workflows for 3DGS scenes with real-time interaction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_01551 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ColorGradedGaussians: Palette-Based Color Grading for 3D Gaussian Splatting via View-Space Sparse Decomposition Chao, Cheng-Kang Ted Gingold, Yotam Graphics I.3, I.4 Professional color editing requires precise control over both color (hue and saturation) and lightness, ideally through separate, independent controls. We present a real-time interactive color editing framework for 3D Gaussian Splatting (3DGS) that enables palette-based recoloring, per-palette tone curves for color-aware lightness adjustment, and accurate pixel-level constraints -- capabilities unavailable in prior palette-based 3DGS methods. Existing approaches decompose colors at the primitive level, optimizing per-Gaussian palette weights before splatting. However, sparse primitive-level weights do not guarantee sparse pixel-level decompositions after alpha-blending, causing palette edits to affect unintended regions and degrading editing quality. We address this through view-space palette decomposition, splatting weights instead of colors to optimize the observable appearance of the scene. We introduce a geometric loss using inverse barycentric coordinates to enforce consistent sparsity patterns, ensuring similar colors share similar decompositions. Our approach achieves superior editing quality compared to primitive-space methods, enabling professional color grading workflows for 3DGS scenes with real-time interaction. |
| title | ColorGradedGaussians: Palette-Based Color Grading for 3D Gaussian Splatting via View-Space Sparse Decomposition |
| topic | Graphics I.3, I.4 |
| url | https://arxiv.org/abs/2604.01551 |