mlsanityData to 7 Oct 2026

InstantStyleGaussian: Efficient Art Style Transfer with 3D Gaussian Splatting

arXiv 2408.04249 ↗First posted 8 Aug 2024cs.CVcited by 11

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

We present InstantStyleGaussian, an innovative 3D style transfer method based on the 3D Gaussian Splatting (3DGS) scene representation. By inputting a target-style image, it quickly generates new 3D GS scenes. Our method operates on pre-reconstructed GS scenes, combining diffusion models with an improved iterative dataset update strategy. It utilizes diffusion models to generate target style images, adds these new images to the training dataset, and uses this dataset to iteratively update and optimize the GS scenes, significantly accelerating the style editing process while ensuring the quality of the generated scenes. Extensive experimental results demonstrate that our method ensures high-quality stylized scenes while offering significant advantages in style transfer speed and consistency.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 30 of its 34 references that are in the map. First posted on arXiv 8 Aug 2024.

Builds on

30 of 34 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions27 Nov
  2. 2023RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models9 Jun
  3. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 27

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  4. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  5. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  6. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  7. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  8. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
  9. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 510
  10. 2023Instruct-NeRF2NeRF: Editing 3D Scenes with Instructionscited by 482
  11. 2021StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscited by 477
  12. 2021Baking Neural Radiance Fields for Real-Time View Synthesiscited by 465
15 more
  1. 2023Gaussian Grouping: Segment and Edit Anything in 3D Scenescited by 387
  2. 2021CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fieldscited by 369
  3. 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 331
  4. 2023Text-to-3D using Gaussian Splattingcited by 299
  5. 2020Softmax Splatting for Video Frame Interpolationcited by 276
  6. 2024InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generationcited by 166
  7. 2022ARF: Artistic Radiance Fieldscited by 147
  8. 2022SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fieldscited by 144
  9. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  10. 2022NeRF-Art: Text-Driven Neural Radiance Fields Stylizationcited by 126
  11. 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
  12. 2023StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fieldscited by 79
  13. 2024StyleGaussian: Instant 3D Style Transfer with Gaussian Splattingcited by 78
  14. 2021Learning to Stylize Novel Viewscited by 76
  15. 2024ICE-G: Image Conditional Editing of 3D Gaussian Splatscited by 11

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 7; 2026: 3.

11 papers.

  1. 2025DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interactioncited by 16
  2. 2025CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splattingcited by 8
  3. 2024ArtNVG: Content-Style Separated Artistic Neighboring-View Gaussian Stylizationcited by 4
  4. 2025Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Stylescited by 4
  5. 2025Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splattingcited by 3
  6. 2025Learning Unified Representation of 3D Gaussian Splattingcited by 2
  7. 2025Training-Free Multi-View Extension of IC-Light for Textual Position-Aware Scene Relightingcited by 2
  8. 2026Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splattingcited by 2
  9. 2025GeoTexBuild: 3D Building Model Generation from Map Footprintscited by 0
  10. 2026Boosting Zero-Shot 3D Style Transfer with 2D Pre-trained Priorscited by 0
  11. 2026OmniStyle-INR: Universal and Multimodal Style Transfer for INRscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025FantasyStyle: Controllable Stylized Distillation for 3D Gaussian Splatting
  2. 2025Morpheus: Text-Driven 3D Gaussian Splat Shape and Color Stylization
  3. 2026DReSG: Diffusion Residuals for Stylized Gaussian Splatting
  4. 2025Jigsaw3D: Disentangled 3D Style Transfer via Patch Shuffling and Masking
  5. 2024ART3D: 3D Gaussian Splatting for Text-Guided Artistic Scenes Generation
  6. 2026SIC3D: Style Image Conditioned Text-to-3D Gaussian Splatting Generation
  7. 2024Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
  8. 2024Style-NeRF2NeRF: 3D Style Transfer From Style-Aligned Multi-View Images