mlsanityData to 14 Oct 2026

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

arXiv 1703.01560 ↗First posted 5 Mar 2017cs.CV cs.LGcited by 36

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Abstract (arXiv)

We present LR-GAN: an adversarial image generation model which takes scene structure and context into account. Unlike previous generative adversarial networks (GANs), the proposed GAN learns to generate image background and foregrounds separately and recursively, and stitch the foregrounds on the background in a contextually relevant manner to produce a complete natural image. For each foreground, the model learns to generate its appearance, shape and pose. The whole model is unsupervised, and is trained in an end-to-end manner with gradient descent methods. The experiments demonstrate that LR-GAN can generate more natural images with objects that are more human recognizable than DCGAN.

Key facts. Cited by 36 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Mar 2017.

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Citing papers per year: 2021: 16; 2022: 7; 2023: 9; 2024: 2; 2025: 2.

36 papers.

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  1. 2023Synthetic Data from Diffusion Models Improves ImageNet Classificationcited by 327
  2. 2021Counterfactual Generative Networkscited by 111
  3. 2022GIRAFFE HD: A High-Resolution 3D-aware Generative Modelcited by 86
  4. 2021Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspectioncited by 77
  5. 2021SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editingcited by 58
  6. 2021Unsupervised Layered Image Decomposition into Object Prototypescited by 50
  7. 2021Learning Generative Models of Textured 3D Meshes from Real-World Imagescited by 44
  8. 2022Adversarial random forests for density estimation and generative modelingcited by 44
  9. 2021Unsupervised Object Learning via Common Fatecited by 29
  10. 2023BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeyscited by 29
  11. 2021Unsupervised Foreground Extraction via Deep Region Competitioncited by 26
  12. 2021Collaging Class-specific GANs for Semantic Image Synthesiscited by 25
24 more
  1. 2021Compositional Transformers for Scene Generationcited by 24
  2. 2022MOVE: Unsupervised Movable Object Segmentation and Detectioncited by 20
  3. 2023Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-artcited by 14
  4. 2022AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fieldscited by 12
  5. 2023SIEDOB: Semantic Image Editing by Disentangling Object and Backgroundcited by 11
  6. 2023Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Fieldcited by 10
  7. 2025Hadamard product in deep learning: Introduction, Advances and Challengescited by 9
  8. 2021Learning Foreground-Background Segmentation from Improved Layered GANscited by 7
  9. 2023PaintSeg: Training-free Segmentation via Paintingcited by 7
  10. 2021Unsupervised Image Decomposition with Phase-Correlation Networkscited by 6
  11. 2021GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettescited by 5
  12. 2022A Realism Metric for Generated LiDAR Point Cloudscited by 5
  13. 2021Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networkscited by 4
  14. 2023Generator Born from Classifiercited by 4
  15. 2023Understanding Deep Generative Models with Generalized Empirical Likelihoodscited by 3
  16. 2025Multi-Agent Amodal Completion: Direct Synthesis with Fine-Grained Semantic Guidancecited by 3
  17. 2021FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Compositioncited by 2
  18. 2021Quantifying point cloud realism through adversarially learned latent representationscited by 2
  19. 2022ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentationcited by 2
  20. 2022GANExplainer: GAN-based Graph Neural Networks Explainercited by 2
  21. 20243D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesiscited by 2
  22. 2023SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentationcited by 1
  23. 2021Two-Step Image Dehazing with Intra-domain and Inter-domain Adaptationcited by 0
  24. 2024Task-Decoupled Image Inpainting Framework for Class-specific Object Removercited by 0