mlsanityData to 7 Oct 2026

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

arXiv 1907.09837 ↗First posted 23 Jul 2019cs.CVcited by 60

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Abstract (arXiv)

The colorization of grayscale images is an ill-posed problem, with multiple correct solutions. In this paper, we propose an adversarial learning colorization approach coupled with semantic information. A generative network is used to infer the chromaticity of a given grayscale image conditioned to semantic clues. This network is framed in an adversarial model that learns to colorize by incorporating perceptual and semantic understanding of color and class distributions. The model is trained via a fully self-supervised strategy. Qualitative and quantitative results show the capacity of the proposed method to colorize images in a realistic way achieving state-of-the-art results.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jul 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 11; 2022: 12; 2023: 15; 2024: 10; 2025: 9; 2026: 3.

60 papers.

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  1. 2021Towards Vivid and Diverse Image Colorization with Generative Color Priorcited by 55
  2. 2022DDColor: Towards Photo-Realistic Image Colorization via Dual Decoderscited by 36
  3. 2022BigColor: Colorization using a Generative Color Prior for Natural Imagescited by 34
  4. 2024Control Color: Multimodal Diffusion-based Interactive Image Colorizationcited by 33
  5. 2023Diffusing Colors: Image Colorization with Text Guided Diffusioncited by 25
  6. 2022GLEAN: Generative Latent Bank for Image Super-Resolution and Beyondcited by 19
  7. 2023Improved Diffusion-based Image Colorization via Piggybacked Modelscited by 15
  8. 2021VCGAN: Video Colorization with Hybrid Generative Adversarial Networkcited by 12
  9. 2021Deep Edge-Aware Interactive Colorization against Color-Bleeding Effectscited by 12
  10. 2021Semantic-Sparse Colorization Network for Deep Exemplar-based Colorizationcited by 12
  11. 2023Video Colorization with Pre-trained Text-to-Image Diffusion Modelscited by 11
  12. 2021Wavelet Transform-assisted Adaptive Generative Modeling for Colorizationcited by 8
38 more
  1. 2022SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolutioncited by 8
  2. 2022UniColor: A Unified Framework for Multi-Modal Colorization with Transformercited by 7
  3. 2024Colorizing Monochromatic Radiance Fieldscited by 7
  4. 2024Automatic Controllable Colorization via Imaginationcited by 7
  5. 2021Focusing on Persons: Colorizing Old Images Learning from Modern Historical Moviescited by 6
  6. 2024MultiColor: Image Colorization by Learning from Multiple Color Spacescited by 6
  7. 2023L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priorscited by 5
  8. 2023ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillationcited by 5
  9. 2023Exemplar-based Video Colorization with Long-term Spatiotemporal Dependencycited by 4
  10. 2023SVCNet: Scribble-based Video Colorization Network with Temporal Aggregationcited by 3
  11. 2023SPColor: Semantic Prior Guided Exemplar-based Image Colorizationcited by 3
  12. 2021Attention-based Stylisation for Exemplar Image Colourisationcited by 2
  13. 2022Hiding Behind Backdoors: Self-Obfuscation Against Generative Modelscited by 2
  14. 2024Multimodal Semantic-Aware Automatic Colorization with Diffusion Priorcited by 2
  15. 2025From Fragment to One Piece: A Survey on AI-Driven Graphic Designcited by 2
  16. 2025Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Datacited by 2
  17. 2021TUCaN: Progressively Teaching Colourisation to Capsulescited by 1
  18. 2022Bias in Automated Image Colorization: Metrics and Error Typescited by 1
  19. 2022Analysis of Different Losses for Deep Learning Image Colorizationcited by 1
  20. 2023Temporal Consistent Automatic Video Colorization via Semantic Correspondencecited by 1
  21. 2023Fine-Tuning InstructPix2Pix for Advanced Image Colorizationcited by 1
  22. 2024Generative Quanta Color Imagingcited by 1
  23. 2024Transforming Color: A Novel Image Colorization Methodcited by 1
  24. 2025Consistent Video Colorization via Palette Guidancecited by 1
  25. 2025Language-based Image Colorization: A Benchmark and Beyondcited by 1
  26. 2025Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Datacited by 1
  27. 2025PRevivor: Reviving Ancient Chinese Paintings using Prior-Guided Color Transformerscited by 1
  28. 2025Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editingcited by 1
  29. 2021Collaboration among Image and Object Level Features for Image Colourisationcited by 0
  30. 2021ViT-Inception-GAN for Image Colourisingcited by 0
  31. 2021Towards Photorealistic Colorization by Imaginationcited by 0
  32. 2022Influence of Color Spaces for Deep Learning Image Colorizationcited by 0
  33. 2022Human vs Objective Evaluation of Colourisation Performancecited by 0
  34. 2022iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformercited by 0
  35. 2022ParaColorizer: Realistic Image Colorization using Parallel Generative Networkscited by 0
  36. 2023Self-Supervised learning for Neural Architecture Search (NAS)cited by 0
  37. 2023DualVAE: Controlling Colours of Generated and Real Imagescited by 0
  38. 2023UW-ProCCaps: UnderWater Progressive Colourisation with Capsulescited by 0

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