mlsanityData to 14 Oct 2026

PixColor: Pixel Recursive Colorization

arXiv 1705.07208 ↗First posted 19 May 2017cs.CV cs.LGcited by 32

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Abstract (arXiv)

We propose a novel approach to automatically produce multiple colorized versions of a grayscale image. Our method results from the observation that the task of automated colorization is relatively easy given a low-resolution version of the color image. We first train a conditional PixelCNN to generate a low resolution color for a given grayscale image. Then, given the generated low-resolution color image and the original grayscale image as inputs, we train a second CNN to generate a high-resolution colorization of an image. We demonstrate that our approach produces more diverse and plausible colorizations than existing methods, as judged by human raters in a "Visual Turing Test".

Key facts. Cited by 32 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 May 2017.

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Citing papers per year: 2021: 9; 2022: 9; 2023: 8; 2024: 5; 2025: 1.

32 papers.

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  1. 2021Palette: Image-to-Image Diffusion Modelscited by 1,300
  2. 2021Colorization Transformercited by 89
  3. 2022UViM: A Unified Modeling Approach for Vision with Learned Guiding Codescited by 78
  4. 2021Towards Vivid and Diverse Image Colorization with Generative Color Priorcited by 55
  5. 2024Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restorationcited by 34
  6. 2022PalGAN: Image Colorization with Palette Generative Adversarial Networkscited by 15
  7. 2023Improved Diffusion-based Image Colorization via Piggybacked Modelscited by 15
  8. 2021VCGAN: Video Colorization with Hybrid Generative Adversarial Networkcited by 12
  9. 2023Video Colorization with Pre-trained Text-to-Image Diffusion Modelscited by 11
  10. 2025Follow-Your-Color: Multi-Instance Sketch Colorizationcited by 10
  11. 2023The Perception-Robustness Tradeoff in Deterministic Image Restorationcited by 7
  12. 2024Colorizing Monochromatic Radiance Fieldscited by 7
20 more
  1. 2024Automatic Controllable Colorization via Imaginationcited by 7
  2. 2023L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priorscited by 5
  3. 2022StyleFlow For Content-Fixed Image to Image Translationcited by 3
  4. 2023SVCNet: Scribble-based Video Colorization Network with Temporal Aggregationcited by 3
  5. 2023DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Modelscited by 3
  6. 2023Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancementcited by 3
  7. 2021Attention-based Stylisation for Exemplar Image Colourisationcited by 2
  8. 2024Perceptual Fairness in Image Restorationcited by 2
  9. 2021TUCaN: Progressively Teaching Colourisation to Capsulescited by 1
  10. 2021Disentangled Unsupervised Image Translation via Restricted Information Flowcited by 1
  11. 2022Analysis of Different Losses for Deep Learning Image Colorizationcited by 1
  12. 2022An Analysis of Generative Methods for Multiple Image Inpaintingcited by 1
  13. 2022Unsupervised Structure-Consistent Image-to-Image Translationcited by 1
  14. 2021Collaboration among Image and Object Level Features for Image Colourisationcited by 0
  15. 2021Astronomical Image Colorization and upscaling with Generative Adversarial Networkscited by 0
  16. 2022Influence of Color Spaces for Deep Learning Image Colorizationcited by 0
  17. 2022Human vs Objective Evaluation of Colourisation Performancecited by 0
  18. 2022ParaColorizer: Realistic Image Colorization using Parallel Generative Networkscited by 0
  19. 2023UW-ProCCaps: UnderWater Progressive Colourisation with Capsulescited by 0
  20. 2024Computer-aided Colorization State-of-the-science: A Surveycited by 0