mlsanityData to 14 Oct 2026

Geometry in Style: 3D Stylization via Surface Normal Deformation

arXiv 2503.23241 ↗First posted 29 Mar 2025cs.GR cs.CVcited by 14

Not on the map. Why?

Abstract (arXiv)

We present Geometry in Style, a new method for identity-preserving mesh stylization. Existing techniques either adhere to the original shape through overly restrictive deformations such as bump maps or significantly modify the input shape using expressive deformations that may introduce artifacts or alter the identity of the source shape. In contrast, we represent a deformation of a triangle mesh as a target normal vector for each vertex neighborhood. The deformations we recover from target normals are expressive enough to enable detailed stylizations yet restrictive enough to preserve the shape's identity. We achieve such deformations using our novel differentiable As-Rigid-As-Possible (dARAP) layer, a neural-network-ready adaptation of the classical ARAP algorithm which we use to solve for per-vertex rotations and deformed vertices. As a differentiable layer, dARAP is paired with a visual loss from a text-to-image model to drive deformations toward style prompts, altogether giving us Geometry in Style. Our project page is at https://threedle.github.io/geometry-in-style.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 64 of its 104 references that are in the map. First posted on arXiv 29 Mar 2025.

Builds on

64 of 104 references.

References · 64

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2020Denoising Diffusion Implicit Modelscited by 9,781
  5. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  6. 2021Zero-Shot Text-to-Image Generationcited by 4,288
  7. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 3,045
  8. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  9. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
  10. 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,238
  11. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,041
  12. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
38 more
  1. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,219
  2. 2018On the Continuity of Rotation Representations in Neural Networkscited by 1,214
  3. 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,198
  4. 2018Learning Implicit Fields for Generative Shape Modelingcited by 1,060
  5. 2020Implicit Geometric Regularization for Learning Shapescited by 710
  6. 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 699
  7. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 687
  8. 2021Maximum Likelihood Training of Score-Based Diffusion Modelscited by 672
  9. 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generationcited by 597
  10. 20233DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Modelscited by 458
  11. 2020Modular Primitives for High-Performance Differentiable Renderingcited by 441
  12. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 397
  13. 2019SAL: Sign Agnostic Learning of Shapes from Raw Datacited by 390
  14. 2021CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fieldscited by 370
  15. 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 334
  16. 2020Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstructioncited by 321
  17. 20163D Menagerie: Modeling the 3D shape and pose of animalscited by 312
  18. 2023Text-to-3D using Gaussian Splattingcited by 299
  19. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  20. 2020Neural Unsigned Distance Fields for Implicit Function Learningcited by 265
  21. 2023GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Modelscited by 255
  22. 20234D-fy: Text-to-4D Generation Using Hybrid Score Distillation Samplingcited by 185
  23. 2023Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generationcited by 133
  24. 2023Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fieldscited by 123
  25. 2023Animate124: Animating One Image to 4D Dynamic Scenecited by 115
  26. 2023HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidancecited by 110
  27. 2019Neural Cages for Detail-Preserving 3D Deformationscited by 106
  28. 2023TextDeformer: Geometry Manipulation using Text Guidancecited by 94
  29. 2018Robust Watertight Manifold Surface Generation Method for ShapeNet Modelscited by 59
  30. 2020Deep Geometric Texture Synthesiscited by 51
  31. 2020Neural Non-Rigid Trackingcited by 49
  32. 2024Generic 3D Diffusion Adapter Using Controlled Multi-View Editingcited by 47
  33. 2021Joint Learning of 3D Shape Retrieval and Deformationcited by 42
  34. 2024Score Distillation via Reparametrized DDIMcited by 41
  35. 2021ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generatorscited by 40
  36. 20233D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillationcited by 35
  37. 20223D Highlighter: Localizing Regions on 3D Shapes via Text Descriptionscited by 32
  38. 2023GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generationcited by 30

50 most cited of 64 All 64 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 10.

14 papers.

Sort:

By area:

  1. 2025VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Spacecited by 45
  2. 2025LL3M: Large Language 3D Modelerscited by 20
  3. 2025SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Trainingcited by 7
  4. 20253D PixBrush: Image-Guided Local Texture Synthesiscited by 3
  5. 2026Beyond Prompts: Unconditional 3D Inversion for Out-of-Distribution Shapescited by 1
  6. 2026EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learningcited by 1
  7. 2026Image-Guided Geometric Stylization of 3D Meshescited by 0
  8. 2026MeshOn: Intersection-Free Mesh-to-Mesh Compositioncited by 0
  9. 2026Mat'ern Noise for Triangulation-Agnostic Flow Matching on Meshescited by 0
  10. 2026CompoSE: Compositional Synthesis and Editing of 3D Shapes via Part-Aware Controlcited by 0
  11. 2026PoseAlign: Sculpting Pose-Consistent Meshes via Text-Guided Deformationcited by 0
  12. 2026Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editingcited by 0
2 more
  1. 2026Differentiable Voxelization of Surface Representationscited by 0
  2. 2026RADmesh: Remesh-Aware Mesh Deformationcited by 0