mlsanityData to 14 Oct 2026

MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing

arXiv 2601.00204 ↗First posted 1 Jan 2026cs.CVcited by 4

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Abstract (arXiv)

3D morphing remains challenging due to the difficulty of generating semantically consistent and temporally smooth deformations, especially across categories. We present MorphAny3D, a training-free framework that leverages Structured Latent (SLAT) representations for high-quality 3D morphing. Our key insight is that intelligently blending source and target SLAT features within the attention mechanisms of 3D generators naturally produces plausible morphing sequences. To this end, we introduce Morphing Cross-Attention (MCA), which fuses source and target information for structural coherence, and Temporal-Fused Self-Attention (TFSA), which enhances temporal consistency by incorporating features from preceding frames. An orientation correction strategy further mitigates the pose ambiguity within the morphing steps. Extensive experiments show that our method generates state-of-the-art morphing sequences, even for challenging cross-category cases. MorphAny3D further supports advanced applications such as decoupled morphing and 3D style transfer, and can be generalized to other SLAT-based generative models. Project page: https://xiaokunsun.github.io/MorphAny3D.github.io/.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 70 of its 96 references that are in the map. First posted on arXiv 1 Jan 2026.

Builds on

70 of 96 references.

References · 70

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  3. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  5. 2020Denoising Diffusion Implicit Modelscited by 9,781
  6. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  7. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  8. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  9. 2022Scalable Diffusion Models with Transformerscited by 6,054
  10. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,700
  11. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
  12. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 849
38 more
  1. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
  2. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 770
  3. 2024LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creationcited by 739
  4. 2024SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformerscited by 737
  5. 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 689
  6. 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 645
  7. 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 612
  8. 20233DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Modelscited by 458
  9. 2024CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assetscited by 455
  10. 2024InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Modelscited by 433
  11. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 356
  12. 2024TripoSR: Fast 3D Object Reconstruction from a Single Imagecited by 232
  13. 2023Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representationcited by 228
  14. 2024CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Modelcited by 215
  15. 2025TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Modelscited by 213
  16. 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformercited by 210
  17. 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Imagecited by 135
  18. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 125
  19. 2024CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refinercited by 123
  20. 2025Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attentioncited by 110
  21. 20243DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusioncited by 101
  22. 2025Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridgingcited by 99
  23. 2024Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoderscited by 98
  24. 2023TextDeformer: Geometry Manipulation using Text Guidancecited by 94
  25. 2025Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modelingcited by 89
  26. 2024Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generationcited by 82
  27. 2021NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Gocited by 81
  28. 2025SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modelingcited by 79
  29. 2020Deep Shells: Unsupervised Shape Correspondence with Optimal Transportcited by 74
  30. 2019Smooth Shells: Multi-Scale Shape Registration with Functional Mapscited by 72
  31. 2023DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphingcited by 67
  32. 2022A Survey of Non-Rigid 3D Registrationcited by 59
  33. 2023Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Featurescited by 55
  34. 2024GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modelingcited by 45
  35. 2024Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Modelscited by 45
  36. 2025VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Spacecited by 45
  37. 2025Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attentioncited by 44
  38. 2023Interpolating between Images with Diffusion Modelscited by 38

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusioncited by 0
  2. 2026CANIS: Generation-Assisted 3D Canonicalization via an Image-Semantic Bridgecited by 0
  3. 2026OrnaStyler: Ornament-Aware Latent Editing for Content-Preserving 3D Stylizationcited by 0
  4. 2026DiDE:Direct Injection with Color-Texture DEcoupling for 3D Stylizationcited by 0