mlsanityData to 7 Oct 2026

Image Inpainting via Generative Multi-column Convolutional Neural Networks

arXiv 1810.08771 ↗First posted 20 Oct 2018cs.CVcited by 81

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Abstract (arXiv)

In this paper, we propose a generative multi-column network for image inpainting. This network synthesizes different image components in a parallel manner within one stage. To better characterize global structures, we design a confidence-driven reconstruction loss while an implicit diversified MRF regularization is adopted to enhance local details. The multi-column network combined with the reconstruction and MRF loss propagates local and global information derived from context to the target inpainting regions. Extensive experiments on challenging street view, face, natural objects and scenes manifest that our method produces visual compelling results even without previously common post-processing.

Key facts. Cited by 81 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Oct 2018.

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Citing papers per year: 2020: 1; 2021: 23; 2022: 22; 2023: 15; 2024: 8; 2025: 4; 2026: 8.

81 papers.

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  1. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 730
  2. 2021Large Scale Image Completion via Co-Modulated Generative Adversarial Networkscited by 219
  3. 2022MAT: Mask-Aware Transformer for Large Hole Image Inpaintingcited by 216
  4. 2022ECON: Explicit Clothed humans Optimized via Normal integrationcited by 199
  5. 2022SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fieldscited by 144
  6. 2021Aggregated Contextual Transformations for High-Resolution Image Inpaintingcited by 89
  7. 2022Capturing and Animation of Body and Clothing from Monocular Videocited by 83
  8. 2021PD-GAN: Probabilistic Diverse GAN for Image Inpaintingcited by 80
  9. 2021MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolutioncited by 79
  10. 2021Open-World Entity Segmentationcited by 74
  11. 2021Image Synthesis via Semantic Compositioncited by 45
  12. 2021WaveFill: A Wavelet-based Generation Network for Image Inpaintingcited by 44
38 more
  1. 2023Learning Disentangled Avatars with Hybrid 3D Representationscited by 44
  2. 2022Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesiscited by 43
  3. 2023Reference-guided Controllable Inpainting of Neural Radiance Fieldscited by 40
  4. 2021Image Inpainting by End-to-End Cascaded Refinement with Mask Awarenesscited by 35
  5. 2021SketchEdit: Mask-Free Local Image Manipulation with Partial Sketchescited by 32
  6. 2023Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Inputcited by 22
  7. 2021Image Inpainting with External-internal Learning and Monochromic Bottleneckcited by 21
  8. 2021Bi-level Feature Alignment for Versatile Image Translation and Manipulationcited by 20
  9. 2023Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Modelcited by 20
  10. 2021MLReal: Bridging the gap between training on synthetic data and real data applications in machine learningcited by 19
  11. 2022PalGAN: Image Colorization with Palette Generative Adversarial Networkscited by 15
  12. 2023Learning Image-Adaptive Codebooks for Class-Agnostic Image Restorationcited by 13
  13. 2021Bridging the Visual Gap: Wide-Range Image Blendingcited by 12
  14. 2024GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similaritycited by 12
  15. 2022Generalised Image Outpainting with U-Transformercited by 11
  16. 2022Unbiased Multi-Modality Guidance for Image Inpaintingcited by 10
  17. 2021Markpainting: Adversarial Machine Learning meets Inpaintingcited by 9
  18. 2022Image Inpainting via Iteratively Decoupled Probabilistic Modelingcited by 9
  19. 2023Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Modelscited by 9
  20. 2022Shape-guided Object Inpaintingcited by 8
  21. 2022Semi-Supervised Video Inpainting with Cycle Consistency Constraintscited by 8
  22. 2022PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polypscited by 7
  23. 2024EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatarscited by 7
  24. 2024Real-time Free-view Human Rendering from Sparse-view RGB Videos using Double Unprojected Texturescited by 7
  25. 2021Contrastive Attention Network with Dense Field Estimation for Face Completioncited by 6
  26. 2024Transformer-based Image and Video Inpainting: Current Challenges and Future Directionscited by 6
  27. 2020Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Networkcited by 5
  28. 2023TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpaintingcited by 5
  29. 2021In-N-Out: Towards Good Initialization for Inpainting and Outpaintingcited by 4
  30. 2021Fully Context-Aware Image Inpainting with a Learned Semantic Pyramidcited by 4
  31. 2022Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplarscited by 4
  32. 2022Contrastive Learning for Diverse Disentangled Foreground Generationcited by 4
  33. 2022Coarse-to-fine Task-driven Inpainting for Geoscience Imagescited by 4
  34. 2023A Diffusion-based Method for Multi-turn Compositional Image Generationcited by 4
  35. 2023GRIG: Few-Shot Generative Residual Image Inpaintingcited by 4
  36. 2023AVFace: Towards Detailed Audio-Visual 4D Face Reconstructioncited by 4
  37. 2023SAIR: Learning Semantic-aware Implicit Representationcited by 3
  38. 2025BVINet: Unlocking Blind Video Inpainting with Zero Annotationscited by 3

50 most cited of 81 All 81 (JSON)