mlsanityData to 7 Oct 2026

Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

arXiv 1612.00215 ↗First posted 1 Dec 2016cs.CVcited by 21

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Abstract (arXiv)

Automatic image synthesis research has been rapidly growing with deep networks getting more and more expressive. In the last couple of years, we have observed images of digits, indoor scenes, birds, chairs, etc. being automatically generated. The expressive power of image generators have also been enhanced by introducing several forms of conditioning variables such as object names, sentences, bounding box and key-point locations. In this work, we propose a novel deep conditional generative adversarial network architecture that takes its strength from the semantic layout and scene attributes integrated as conditioning variables. We show that our architecture is able to generate realistic outdoor scene images under different conditions, e.g. day-night, sunny-foggy, with clear object boundaries.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Dec 2016.

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Citing papers per year: 2020: 1; 2021: 8; 2022: 4; 2023: 6; 2024: 0; 2025: 2.

21 papers.

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  1. 2023LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generationcited by 258
  2. 2023Improving Diffusion Models for Scene Text Editing with Dual Encoderscited by 44
  3. 2023DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusioncited by 32
  4. 2021View Generalization for Single Image Textured 3D Modelscited by 19
  5. 2021PanoDR: Spherical Panorama Diminished Reality for Indoor Scenescited by 13
  6. 2025A Diffusion Model Translator for Efficient Image-to-Image Translationcited by 12
  7. 2021AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Stylecited by 11
  8. 2025DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Modelscited by 10
  9. 2022Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translationcited by 8
  10. 2023FASTER: A Font-Agnostic Scene Text Editing and Rendering Frameworkcited by 6
  11. 2023Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Drivingcited by 4
  12. 2021DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesiscited by 3
9 more
  1. 2021Harnessing the Conditioning Sensorium for Improved Image Translationcited by 3
  2. 2022Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problemcited by 2
  3. 2022How to Guide Adaptive Depth Sampling?cited by 2
  4. 2022An Architecture for the detection of GAN-generated Flood Images with Localization Capabilitiescited by 1
  5. 2020Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instabilitycited by 0
  6. 2021Adaptive Appearance Renderingcited by 0
  7. 2021Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networkscited by 0
  8. 2021Cascading Modular Network (CAM-Net) for Multimodal Image Synthesiscited by 0
  9. 2023AptSim2Real: Approximately-Paired Sim-to-Real Image Translationcited by 0