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Specifying Object Attributes and Relations in Interactive Scene Generation

arXiv 1909.05379 ↗First posted 11 Sep 2019cs.CV cs.LGcited by 76

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Abstract (arXiv)

We introduce a method for the generation of images from an input scene graph. The method separates between a layout embedding and an appearance embedding. The dual embedding leads to generated images that better match the scene graph, have higher visual quality, and support more complex scene graphs. In addition, the embedding scheme supports multiple and diverse output images per scene graph, which can be further controlled by the user. We demonstrate two modes of per-object control: (i) importing elements from other images, and (ii) navigation in the object space, by selecting an appearance archetype. Our code is publicly available at https://www.github.com/ashual/scene_generation

Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Sep 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 30; 2022: 16; 2023: 15; 2024: 10; 2025: 3; 2026: 2.

76 papers.

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  1. 2023Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Modelscited by 696
  2. 2023LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generationcited by 258
  3. 2021Illiterate DALL-E Learns to Composecited by 147
  4. 2021AGQA: A Benchmark for Compositional Spatio-Temporal Reasoningcited by 120
  5. 2021Instance-Conditioned GANcited by 119
  6. 2021Spatial-Temporal Transformer for Dynamic Scene Graph Generationcited by 95
  7. 2022RelTR: Relation Transformer for Scene Graph Generationcited by 95
  8. 2021Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphscited by 83
  9. 2021Learning to Compose Visual Relationscited by 72
  10. 2022HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoisingcited by 72
  11. 2021SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editingcited by 58
  12. 2023LayoutDM: Transformer-based Diffusion Model for Layout Generationcited by 57
38 more
  1. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  2. 2022Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Trainingcited by 56
  3. 2021Text to Image Generation with Semantic-Spatial Aware GANcited by 53
  4. 2021Adversarial Text-to-Image Synthesis: A Reviewcited by 52
  5. 2022Modeling Image Composition for Complex Scene Generationcited by 43
  6. 2022SceneComposer: Any-Level Semantic Image Synthesiscited by 43
  7. 2021Context-Aware Layout to Image Generation with Enhanced Object Appearancecited by 41
  8. 2023SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesiscited by 41
  9. 2022RepMix: Representation Mixing for Robust Attribution of Synthesized Imagescited by 39
  10. 2023SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometrycited by 38
  11. 2021High-Resolution Complex Scene Synthesis with Transformerscited by 31
  12. 2021Instance-wise Occlusion and Depth Orders in Natural Scenescited by 31
  13. 2022VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programmingcited by 31
  14. 2021Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesiscited by 24
  15. 2021Compositional Transformers for Scene Generationcited by 24
  16. 2021Unconditional Scene Graph Generationcited by 22
  17. 2021High Resolution Face Editing with Masked GAN Latent Code Optimizationcited by 21
  18. 2021Top-N Recommendation with Counterfactual User Preference Simulationcited by 21
  19. 2023SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstructioncited by 20
  20. 2023Graph Transformer GANs for Graph-Constrained House Generationcited by 19
  21. 2022Interactive Image Synthesis with Panoptic Layout Generationcited by 17
  22. 2021OSCAR-Net: Object-centric Scene Graph Attention for Image Attributioncited by 15
  23. 2022CoGS: Controllable Generation and Search from Sketch and Stylecited by 14
  24. 2021House-GAN++: Generative Adversarial Layout Refinement Networkscited by 13
  25. 2021AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Stylecited by 11
  26. 2024Scene Graph Disentanglement and Composition for Generalizable Complex Image Generationcited by 11
  27. 2022Memory-Driven Text-to-Image Generationcited by 10
  28. 2021Exploiting Relationship for Complex-scene Image Generationcited by 9
  29. 2022iPLAN: Interactive and Procedural Layout Planningcited by 8
  30. 2021MIGS: Meta Image Generation from Scene Graphscited by 7
  31. 2022GraphMapper: Efficient Visual Navigation by Scene Graph Generationcited by 6
  32. 2022SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layoutscited by 6
  33. 2024What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable Generationcited by 6
  34. 2025Inversion-DPO: Precise and Efficient Post-Training for Diffusion Modelscited by 6
  35. 2021Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactionscited by 5
  36. 2023PARASOL: Parametric Style Control for Diffusion Image Synthesiscited by 5
  37. 2023Controllable Image Generation via Collage Representationscited by 5
  38. 2024Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generationcited by 5

50 most cited of 76 All 76 (JSON)