mlsanityData to 14 Oct 2026

Edit360: 2D Image Edits to 3D Assets from Any Angle

arXiv 2506.10507 ↗First posted 12 Jun 2025cs.GR cs.CVcited by 13

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

Recent advances in diffusion models have significantly improved image generation and editing, but extending these capabilities to 3D assets remains challenging, especially for fine-grained edits that require multi-view consistency. Existing methods typically restrict editing to predetermined viewing angles, severely limiting their flexibility and practical applications. We introduce Edit360, a tuning-free framework that extends 2D modifications to multi-view consistent 3D editing. Built upon video diffusion models, Edit360 enables user-specific editing from arbitrary viewpoints while ensuring structural coherence across all views. The framework selects anchor views for 2D modifications and propagates edits across the entire 360-degree range. To achieve this, Edit360 introduces a novel Anchor-View Editing Propagation mechanism, which effectively aligns and merges multi-view information within the latent and attention spaces of diffusion models. The resulting edited multi-view sequences facilitate the reconstruction of high-quality 3D assets, enabling customizable 3D content creation.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 51 of its 66 references that are in the map. First posted on arXiv 12 Jun 2025.

Builds on

51 of 66 references.

Closest ancestors · 16

Same direction, newest first

  1. 2024VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models18 Mar
  2. 2024Generic 3D Diffusion Adapter Using Controlled Multi-View Editing18 Mar
  3. 2024SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion18 Mar
  4. 2024Envision3D: One Image to 3D with Anchor Views Interpolation13 Mar
  5. 2024V3D: Video Diffusion Models are Effective 3D Generators11 Mar
  6. 2024MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction20 Feb
  7. 2024EscherNet: A Generative Model for Scalable View Synthesis6 Feb
  8. 2023ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models3 Dec
  9. 2023Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion27 Nov
  10. 2023Control3D: Towards Controllable Text-to-3D Generation9 Nov
  11. 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Image7 Sep
  12. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
4 more
  1. 2023Zero-1-to-3: Zero-shot One Image to 3D Object20 Mar
  2. 2022Magic3D: High-Resolution Text-to-3D Content Creation18 Nov
  3. 2022Novel View Synthesis with Diffusion Models6 Oct
  4. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 35

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  5. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  6. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  7. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  8. 2021Zero-Shot Text-to-Image Generationcited by 4,288
  9. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  10. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  11. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
  12. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,581
23 more
  1. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
  2. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
  3. 2018Learning Implicit Fields for Generative Shape Modelingcited by 1,060
  4. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
  5. 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 612
  6. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  7. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 460
  8. 2023AnyDoor: Zero-shot Object-level Image Customizationcited by 412
  9. 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 326
  10. 2022MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolationcited by 309
  11. 2023Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioningcited by 255
  12. 2021Learning Object-Compositional Neural Radiance Field for Editable Scene Renderingcited by 228
  13. 2021Editing Conditional Radiance Fieldscited by 222
  14. 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 217
  15. 2024InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generationcited by 170
  16. 2019Neural Cages for Detail-Preserving 3D Deformationscited by 106
  17. 2023Free3D: Consistent Novel View Synthesis without 3D Representationcited by 72
  18. 2017Variational Autoencoders for Deforming 3D Mesh Modelscited by 70
  19. 2024Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Imagescited by 35
  20. 2017Sparse Data Driven Mesh Deformationcited by 21
  21. 2024HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generationcited by 21
  22. 2020A Content Transformation Block For Image Style Transfercited by 19
  23. 2021A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpointcited by 16

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 9.

13 papers.

Sort:

By area:

  1. 2025NANO3D: A Training-Free Approach for Efficient 3D Editing Without Maskscited by 31
  2. 2026SolarWM: Open Data and Scalable Training for Long-Horizon Video World Modelscited by 12
  3. 20253D-LATTE: Latent Space 3D Editing from Textual Instructionscited by 11
  4. 2025EditCast3D: Single-Frame-Guided 3D Editing with Video Propagation and View Selectioncited by 5
  5. 2026PEGAsus: 3D Personalization of Geometry and Appearancecited by 5
  6. 2026Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLMcited by 5
  7. 2026VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Imagecited by 4
  8. 2026Velocity-Space 3D Asset Editingcited by 2
  9. 2025Droplet3D: Commonsense Priors from Videos Facilitate 3D Generationcited by 1
  10. 2026Look Before You Edit: Attention-Guided Camera Placement and Multi-View Alignment for 3D Gaussian Splatting Editingcited by 0
  11. 2026DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decodingcited by 0
  12. 2026Scaling Versatile 3D Assets Editing with a Million-Scale Datasetcited by 0
1 more
  1. 2026DiDE:Direct Injection with Color-Texture DEcoupling for 3D Stylizationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Make Your MoVe: Make Your 3D Contents by Adapting Multi-View Diffusion Models to External Editing
  2. 2025DisCo3D: Distilling Multi-View Consistency for 3D Scene Editing
  3. 2025Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization
  4. 2025Coupled Diffusion Sampling for Training-Free Multi-View Image Editing
  5. 2025EditP23: 3D Editing via Propagation of Image Prompts to Multi-View
  6. 2026Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing
  7. 2024Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors
  8. 2023Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models