mlsanityData to 7 Oct 2026

Thinking Like Van Gogh: Structure-Aware Style Transfer via Flow-Guided 3D Gaussian Splatting

arXiv 2601.10075 ↗First posted 15 Jan 2026cs.CV cs.GR cs.LGcited by 1

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Abstract (arXiv)

In 1888, Vincent van Gogh wrote, "I am seeking exaggeration in the essential." This principle, amplifying structural form while suppressing photographic detail, lies at the core of Post-Impressionist art. However, most existing 3D style transfer methods invert this philosophy, treating geometry as a rigid substrate for surface-level texture projection. To authentically reproduce Post-Impressionist stylization, geometric abstraction must be embraced as the primary vehicle of expression. We propose a flow-guided geometric advection framework for 3D Gaussian Splatting (3DGS) that operationalizes this principle in a mesh-free setting. Our method extracts directional flow fields from 2D paintings and back-propagates them into 3D space, rectifying Gaussian primitives to form flow-aligned brushstrokes that conform to scene topology without relying on explicit mesh priors. This enables expressive structural deformation driven directly by painterly motion rather than photometric constraints. Our contributions are threefold: (1) a projection-based, mesh-free flow guidance mechanism that transfers 2D artistic motion into 3D Gaussian geometry; (2) a luminance-structure decoupling strategy that isolates geometric deformation from color optimization, mitigating artifacts during aggressive structural abstraction; and (3) a VLM-as-a-Judge evaluation framework that assesses artistic authenticity through aesthetic judgment instead of conventional pixel-level metrics, explicitly addressing the subjective nature of artistic stylization.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 27 references that are in the map. First posted on arXiv 15 Jan 2026.

Builds on

11 of 27 references.

References · 11

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  2. 2023StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fieldscited by 79
  3. 2024StyleGaussian: Instant 3D Style Transfer with Gaussian Splattingcited by 78
  4. 2021Rethinking Style Transfer: From Pixels to Parameterized Brushstrokescited by 42
  5. 2024StylizedGS: Controllable Stylization for 3D Gaussian Splattingcited by 23
  6. 2024Geometry Transfer for Stylizing Radiance Fieldscited by 16
  7. 2025ABC-GS: Alignment-Based Controllable Style Transfer for 3D Gaussian Splattingcited by 7
  8. 2023ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylizationcited by 6
  9. 2014Geometric Tight Frame based Stylometry for Art Authentication of van Gogh Paintingscited by 3
  10. 2025GT2-GS: Geometry-aware Texture Transfer for Gaussian Splattingcited by 3
  11. 2023Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokescited by 1

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