Pro3D-Editor : A Progressive-Views Perspective for Consistent and Precise 3D Editing
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Abstract (arXiv)
Text-guided 3D editing aims to precisely edit semantically relevant local 3D regions, which has significant potential for various practical applications ranging from 3D games to film production. Existing methods typically follow a view-indiscriminate paradigm: editing 2D views indiscriminately and projecting them back into 3D space. However, they overlook the different cross-view interdependencies, resulting in inconsistent multi-view editing. In this study, we argue that ideal consistent 3D editing can be achieved through a textitprogressive-views paradigm, which propagates editing semantics from the editing-salient view to other editing-sparse views. Specifically, we propose textitPro3D-Editor, a novel framework, which mainly includes Primary-view Sampler, Key-view Render, and Full-view Refiner. Primary-view Sampler dynamically samples and edits the most editing-salient view as the primary view. Key-view Render accurately propagates editing semantics from the primary view to other key views through its Mixture-of-View-Experts Low-Rank Adaption (MoVE-LoRA). Full-view Refiner edits and refines the 3D object based on the edited multi-views. Extensive experiments demonstrate that our method outperforms existing methods in editing accuracy and spatial consistency.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 41 of its 46 references that are in the map. First posted on arXiv 31 May 2025.
Builds on
41 of 46 references.
References · 41
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
- 2025Qwen2.5-VL Technical Reportcited by 5,418
- 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
- 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
- 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
- 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,483
- 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,306
- 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,204
- 2023MVDream: Multi-view Diffusion for 3D Generationcited by 928
- 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
29 more
- 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
- 2024LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creationcited by 730
- 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 682
- 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 638
- 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
- 2024InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Modelscited by 421
- 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
- 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 331
- 2023Emu Edit: Precise Image Editing via Recognition and Generation Taskscited by 321
- 2024GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generationcited by 298
- 2024UltraEdit: Instruction-based Fine-Grained Image Editing at Scalecited by 266
- 2023ImageDream: Image-Prompt Multi-view Diffusion for 3D Generationcited by 256
- 2023Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Imagescited by 172
- 2024GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generationcited by 151
- 2023Vox-E: Text-guided Voxel Editing of 3D Objectscited by 114
- 2024GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editingcited by 114
- 2024MV-Adapter: Multi-view Consistent Image Generation Made Easycited by 111
- 2024Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attentioncited by 99
- 2024MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstructioncited by 94
- 2024DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editingcited by 92
- 2024TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Promptscited by 76
- 2024Generic 3D Diffusion Adapter Using Controlled Multi-View Editingcited by 46
- 2023SHAP-EDITOR: Instruction-guided Latent 3D Editing in Secondscited by 36
- 2024Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Imagescited by 34
- 2024PrEditor3D: Fast and Precise 3D Shape Editingcited by 27
- 20243D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generationcited by 19
- 2023UpFusion: Novel View Diffusion from Unposed Sparse View Observationscited by 14
- 2024GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinementcited by 14
- 2024CustomContrast: A Multilevel Contrastive Perspective For Subject-Driven Text-to-Image Customizationcited by 13
Built on by
Citing papers per year: 2025: 3; 2026: 8.
11 papers.
- 2025VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Spacecited by 40
- 2025NANO3D: A Training-Free Approach for Efficient 3D Editing Without Maskscited by 29
- 2025A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generationcited by 19
- 2026Omni-3DEdit: Generalized Versatile 3D Editing in One-Passcited by 6
- 2026TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Maskingcited by 2
- 2026Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Datacited by 2
- 2026DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editingcited by 0
- 2026Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editingcited by 0
- 2026EditFlow3D: Automated Local Editing of 3D Assets with Trajectory Preservationcited by 0
- 2026ES3D: Embedding Semantics into 3D Space for Component-Aware Editingcited by 0
- 2026Scaling Versatile 3D Assets Editing with a Million-Scale Datasetcited by 0
- 2026Scaling Versatile 3D Assets Editing with a Million-Scale Dataset28 Sep 2026
- 2026ES3D: Embedding Semantics into 3D Space for Component-Aware Editing16 Aug 2026
- 2026EditFlow3D: Automated Local Editing of 3D Assets with Trajectory Preservation4 Aug 2026
- 2026Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing3 Aug 2026
- 2026DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editing16 May 2026
- 2026Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Data15 Apr 2026
- 2026TRACE: High-Fidelity 3D Scene Editing via Tangible Reconstruction and Geometry-Aligned Contextual Video Masking1 Apr 2026
- 2026Omni-3DEdit: Generalized Versatile 3D Editing in One-Pass18 Mar 2026
- 2025NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks16 Oct 2025
- 2025VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space26 Aug 2025
- 2025A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation13 Aug 2025