mlsanityData to 7 Oct 2026

TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Splatting Manipulation

arXiv 2407.02034 ↗First posted 2 Jul 2024cs.CVcited by 10

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Abstract (arXiv)

Despite significant strides in the field of 3D scene editing, current methods encounter substantial challenge, particularly in preserving 3D consistency in multi-view editing process. To tackle this challenge, we propose a progressive 3D editing strategy that ensures multi-view consistency via a Trajectory-Anchored Scheme (TAS) with a dual-branch editing mechanism. Specifically, TAS facilitates a tightly coupled iterative process between 2D view editing and 3D updating, preventing error accumulation yielded from text-to-image process. Additionally, we explore the relationship between optimization-based methods and reconstruction-based methods, offering a unified perspective for selecting superior design choice, supporting the rationale behind the designed TAS. We further present a tuning-free View-Consistent Attention Control (VCAC) module that leverages cross-view semantic and geometric reference from the source branch to yield aligned views from the target branch during the editing of 2D views. To validate the effectiveness of our method, we analyze 2D examples to demonstrate the improved consistency with the VCAC module. Further extensive quantitative and qualitative results in text-guided 3D scene editing indicate that our method achieves superior editing quality compared to state-of-the-art methods. We will make the complete codebase publicly available following the conclusion of the review process.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 48 of its 53 references that are in the map. First posted on arXiv 2 Jul 2024.

Builds on

48 of 53 references.

References · 48

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2020Denoising Diffusion Implicit Modelscited by 9,655
  3. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  4. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  5. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  6. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  7. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  8. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  9. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  10. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  11. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
  12. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
36 more
  1. 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generationcited by 597
  2. 2023Instruct-NeRF2NeRF: Editing 3D Scenes with Instructionscited by 482
  3. 2023Gaussian Grouping: Segment and Edit Anything in 3D Scenescited by 387
  4. 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 331
  5. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  6. 2022Diffusion models as plug-and-play priorscited by 230
  7. 2024A Survey on 3D Gaussian Splattingcited by 221
  8. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 156
  9. 2023DreamEditor: Text-Driven 3D Scene Editing with Neural Fieldscited by 154
  10. 2024Recent Advances in 3D Gaussian Splattingcited by 130
  11. 2023Delta Denoising Scorecited by 120
  12. 2023Vox-E: Text-guided Voxel Editing of 3D Objectscited by 114
  13. 2024GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editingcited by 114
  14. 2023HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidancecited by 109
  15. 2023Inversion-Free Image Editing with Natural Languagecited by 106
  16. 2023Noise-Free Score Distillationcited by 99
  17. 2024DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editingcited by 92
  18. 2023FocalDreamer: Text-driven 3D Editing via Focal-fusion Assemblycited by 75
  19. 2024ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fieldscited by 68
  20. 2023OBJECT 3DIT: Language-guided 3D-aware Image Editingcited by 62
  21. 2023Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversioncited by 47
  22. 2024Generic 3D Diffusion Adapter Using Controlled Multi-View Editingcited by 46
  23. 2023Posterior Distillation Samplingcited by 45
  24. 2024VideoMV: Consistent Multi-View Generation Based on Large Video Generative Modelcited by 45
  25. 2020Neural Volume Rendering: NeRF And Beyondcited by 44
  26. 2023Clustering based Point Cloud Representation Learning for 3D Analysiscited by 23
  27. 2024RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpaintingcited by 21
  28. 2023Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Trainingcited by 20
  29. 2024Diffusion Time-step Curriculum for One Image to 3D Generationcited by 20
  30. 2023RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Modelscited by 19
  31. 2024ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editingcited by 18
  32. 2023LatentEditor: Text Driven Local Editing of 3D Scenescited by 17
  33. 2023Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Modelscited by 16
  34. 2024LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernelscited by 15
  35. 2023High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Priorcited by 5
  36. 2024Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decompositioncited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 4; 2026: 3.

10 papers.