mlsanityData to 7 Oct 2026

SGSST: Scaling Gaussian Splatting StyleTransfer

arXiv 2412.03371 ↗First posted 4 Dec 2024cs.CV cs.GR eess.IVcited by 20

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Abstract (arXiv)

Applying style transfer to a full 3D environment is a challenging task that has seen many developments since the advent of neural rendering. 3D Gaussian splatting (3DGS) has recently pushed further many limits of neural rendering in terms of training speed and reconstruction quality. This work introduces SGSST: Scaling Gaussian Splatting Style Transfer, an optimization-based method to apply style transfer to pretrained 3DGS scenes. We demonstrate that a new multiscale loss based on global neural statistics, that we name SOS for Simultaneously Optimized Scales, enables style transfer to ultra-high resolution 3D scenes. Not only SGSST pioneers 3D scene style transfer at such high image resolutions, it also produces superior visual quality as assessed by thorough qualitative, quantitative and perceptual comparisons.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 37 of its 48 references that are in the map. First posted on arXiv 4 Dec 2024.

Builds on

37 of 48 references.

References · 37

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  4. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  5. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  6. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  7. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  8. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  9. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  10. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  11. 2017Universal Style Transfer via Feature Transformscited by 352
  12. 2017Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesiscited by 215
25 more
  1. 2018Arbitrary Style Transfer with Style-Attentional Networkscited by 197
  2. 2016Texture Networks: Feed-forward Synthesis of Textures and Stylized Imagescited by 173
  3. 2022ARF: Artistic Radiance Fieldscited by 147
  4. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  5. 2024Recent Advances in 3D Gaussian Splattingcited by 130
  6. 2018Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decorationcited by 115
  7. 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
  8. 2016Controlling Perceptual Factors in Neural Style Transfercited by 99
  9. 2016Fast Patch-based Style Transfer of Arbitrary Stylecited by 92
  10. 2023StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fieldscited by 79
  11. 2024StyleGaussian: Instant 3D Style Transfer with Gaussian Splattingcited by 78
  12. 2017Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Lossescited by 69
  13. 2020Collaborative Distillation for Ultra-Resolution Universal Style Transfercited by 52
  14. 2022MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfercited by 19
  15. 2024Geometry Transfer for Stylizing Radiance Fieldscited by 16
  16. 2020Texture Interpolation for Probing Visual Perceptioncited by 15
  17. 2021Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalizationcited by 15
  18. 2024CoARF: Controllable 3D Artistic Style Transfer for Radiance Fieldscited by 14
  19. 2020Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruningcited by 9
  20. 2020High resolution neural texture synthesis with long range constraintscited by 6
  21. 2024G-Style: Stylized Gaussian Splattingcited by 5
  22. 2015Learning FRAME Models Using CNN Filterscited by 4
  23. 2019Maximum entropy methods for texture synthesis: theory and practicecited by 4
  24. 2024Evaluation in Neural Style Transfer: A Reviewcited by 4
  25. 2022Scaling Painting Style Transfercited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 9; 2026: 11.

20 papers.

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  1. 2025A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generationcited by 19
  2. 2025CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splattingcited by 8
  3. 2025StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussianscited by 6
  4. 2025Splat Feature Solvercited by 6
  5. 2025Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Stylescited by 4
  6. 2025GT2-GS: Geometry-aware Texture Transfer for Gaussian Splattingcited by 3
  7. 2025Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splattingcited by 3
  8. 2026WeatherCity: Urban Scene Reconstruction with Controllable Multi-Weather Transformationcited by 2
  9. 2025Improved 3D Scene Stylization via Text-Guided Generative Image Editing with Region-Based Controlcited by 1
  10. 2025Optimization-Free Style Transfer for 3D Gaussian Splatscited by 0
  11. 2026DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimizationcited by 0
  12. 2026AnyStyle: Single-Pass Multimodal Stylization for 3D Gaussian Splattingcited by 0
8 more
  1. 2026Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagationcited by 0
  2. 2026SIC3D: Style Image Conditioned Text-to-3D Gaussian Splatting Generationcited by 0
  3. 2026AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustnesscited by 0
  4. 2026Geometry-Aware Style Transfer in 3D Gaussian Splattingcited by 0
  5. 2026Capacity-Controlled Multi-View Stylization of 3D Gaussian Splattingcited by 0
  6. 2026OmniStyle-INR: Universal and Multimodal Style Transfer for INRscited by 0
  7. 2026GSRAIN: Physically Calibrated High-/Low-Frequency Rainfall Synthesis for 3D Gaussian Driving Scenescited by 0
  8. 2026DReSG: Diffusion Residuals for Stylized Gaussian Splattingcited by 0