mlsanityData to 14 Oct 2026

BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing

arXiv 2506.17450 ↗First posted 20 Jun 2025cs.CV cs.GRcited by 7

Not on the map. Why?

Abstract (arXiv)

We present BlenderFusion, a generative visual compositing framework that synthesizes new scenes by recomposing objects, camera, and background. It follows a layering-editing-compositing pipeline: (i) segmenting and converting visual inputs into editable 3D entities (layering), (ii) editing them in Blender with 3D-grounded control (editing), and (iii) fusing them into a coherent scene using a generative compositor (compositing). Our generative compositor extends a pre-trained diffusion model to process both the original (source) and edited (target) scenes in parallel. It is fine-tuned on video frames with two key training strategies: (i) source masking, enabling flexible modifications like background replacement; (ii) simulated object jittering, facilitating disentangled control over objects and camera. BlenderFusion significantly outperforms prior methods in complex compositional scene editing tasks.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 56 of its 60 references that are in the map. First posted on arXiv 20 Jun 2025.

Builds on

56 of 60 references.

References · 56

  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. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  6. 2017Mask R-CNNcited by 7,277
  7. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  8. 2021Emerging Properties in Self-Supervised Vision Transformerscited by 6,968
  9. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
  10. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  11. 2022Classifier-Free Diffusion Guidancecited by 5,847
  12. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
38 more
  1. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,588
  2. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,332
  3. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  4. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  5. 2019Scalability in Perception for Autonomous Driving: Waymo Open Datasetcited by 2,451
  6. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  7. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,567
  8. 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
  9. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
  10. 2024Grounding Image Matching in 3D with MASt3Rcited by 983
  11. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 938
  12. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 770
  13. 2020Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understandingcited by 604
  14. 2021ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Datacited by 454
  15. 2024CAT3D: Create Anything in 3D with Multi-View Diffusion Modelscited by 432
  16. 2023AnyDoor: Zero-shot Object-level Image Customizationcited by 412
  17. 2024Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondcited by 404
  18. 2022Kubric: A scalable dataset generatorcited by 381
  19. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 356
  20. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 332
  21. 2023Subject-driven Text-to-Image Generation via Apprenticeship Learningcited by 212
  22. 2022Re-Imagen: Retrieval-Augmented Text-to-Image Generatorcited by 210
  23. 2023StyleDrop: Text-to-Image Generation in Any Stylecited by 199
  24. 2023TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Compositioncited by 182
  25. 2020Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotationscited by 155
  26. 2024SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Codecited by 134
  27. 2024MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstructioncited by 95
  28. 2024Instruct-Imagen: Image Generation with Multi-modal Instructioncited by 65
  29. 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representationcited by 64
  30. 2023OBJECT 3DIT: Language-guided 3D-aware Image Editingcited by 63
  31. 2023Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3Dcited by 59
  32. 2025TokenVerse: Versatile Multi-concept Personalization in Token Modulation Spacecited by 52
  33. 2024Image Sculpting: Precise Object Editing with 3D Geometry Controlcited by 45
  34. 2023ControlCom: Controllable Image Composition using Diffusion Modelcited by 43
  35. 2024Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videoscited by 38
  36. 2022ObjectStitch: Generative Object Compositingcited by 36
  37. 2024GeoDiffuser: Geometry-Based Image Editing with Diffusion Modelscited by 34
  38. 2025BlenderGym: Benchmarking Foundational Model Systems for Graphics Editingcited by 31

50 most cited of 56 All 56 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 6.

7 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2024Thinking Outside the BBox: Unconstrained Generative Object Compositing
  2. 2026FixAnything: 3D-Consistent Rendering Refinement via Video Generative Priors
  3. 2025OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting
  4. 2023Cross-domain Compositing with Pretrained Diffusion Models
  5. 2024ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing
  6. 20243DEgo: 3D Editing on the Go!
  7. 20253D Object Manipulation in a Single Image using Generative Models
  8. 2025Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization