mlsanityData to 14 Oct 2026

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

arXiv 1711.11585 ↗First posted 30 Nov 2017cs.CV cs.GR cs.LGcited by 1,179

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Cited by 124 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs). Conditional GANs have enabled a variety of applications, but the results are often limited to low-resolution and still far from realistic. In this work, we generate 2048x1024 visually appealing results with a novel adversarial loss, as well as new multi-scale generator and discriminator architectures. Furthermore, we extend our framework to interactive visual manipulation with two additional features. First, we incorporate object instance segmentation information, which enables object manipulations such as removing/adding objects and changing the object category. Second, we propose a method to generate diverse results given the same input, allowing users to edit the object appearance interactively. Human opinion studies demonstrate that our method significantly outperforms existing methods, advancing both the quality and the resolution of deep image synthesis and editing.

Key facts. Cited by 1,179 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Nov 2017.

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Citing papers per year: 2021: 336; 2022: 262; 2023: 245; 2024: 169; 2025: 111; 2026: 56.

1,179 papers.

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  1. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  2. 2022Generative Adversarial Networkscited by 5,627
  3. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  4. 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,937
  5. 2023T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Modelscited by 1,351
  6. 2021Alias-Free Generative Adversarial Networkscited by 1,184
  7. 2022Multi-Concept Customization of Text-to-Image Diffusioncited by 1,106
  8. 2023One-step Diffusion with Distribution Matching Distillationcited by 1,019
  9. 2023GLIGEN: Open-Set Grounded Text-to-Image Generationcited by 781
  10. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
  11. 2021DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulationcited by 642
  12. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 635
38 more
  1. 2023Structure and Content-Guided Video Synthesis with Diffusion Modelscited by 590
  2. 2023Zero-shot Image-to-Image Translationcited by 505
  3. 2022Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priorscited by 487
  4. 2021GAN Inversion: A Surveycited by 367
  5. 2021Towards Real-World Blind Face Restoration with Generative Facial Priorcited by 349
  6. 2023Video-P2P: Video Editing with Cross-attention Controlcited by 314
  7. 2023UniSim: A Neural Closed-Loop Sensor Simulatorcited by 297
  8. 2021Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representationcited by 288
  9. 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
  10. 2023LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generationcited by 259
  11. 2021Motion Representations for Articulated Animationcited by 255
  12. 2022Transformers in Medical Imaging: A Surveycited by 245
  13. 2022Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformercited by 244
  14. 2021SimSwap: An Efficient Framework For High Fidelity Face Swappingcited by 243
  15. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Modelscited by 225
  16. 2022SpaText: Spatio-Textual Representation for Controllable Image Generationcited by 217
  17. 2021GRAM: Generative Radiance Manifolds for 3D-Aware Image Generationcited by 216
  18. 2023Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondencecited by 214
  19. 2021Neural Head Avatars from Monocular RGB Videoscited by 213
  20. 2021Projected GANs Converge Fastercited by 208
  21. 2023Controlling Text-to-Image Diffusion by Orthogonal Finetuningcited by 208
  22. 2022Diffusion-GAN: Training GANs with Diffusioncited by 205
  23. 2021GAN Prior Embedded Network for Blind Face Restoration in the Wildcited by 197
  24. 2021How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Modelscited by 196
  25. 2023Dreamix: Video Diffusion Models are General Video Editorscited by 191
  26. 2023StableVideo: Text-driven Consistency-aware Diffusion Video Editingcited by 183
  27. 2021Audio-Driven Emotional Video Portraitscited by 180
  28. 2022Sketch-Guided Text-to-Image Diffusion Modelscited by 180
  29. 2022Depth-Aware Generative Adversarial Network for Talking Head Video Generationcited by 178
  30. 2024InstanceDiffusion: Instance-level Control for Image Generationcited by 175
  31. 2021ARCH++: Animation-Ready Clothed Human Reconstruction Revisitedcited by 174
  32. 2022EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equationscited by 172
  33. 2021A Good Image Generator Is What You Need for High-Resolution Video Synthesiscited by 163
  34. 2023Dense Text-to-Image Generation with Attention Modulationcited by 163
  35. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 162
  36. 2022Pretraining is All You Need for Image-to-Image Translationcited by 160
  37. 2023Flow Matching in Latent Spacecited by 160
  38. 2021EditGAN: High-Precision Semantic Image Editingcited by 156

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