mlsanityData to 7 Oct 2026

CollaGAN : Collaborative GAN for Missing Image Data Imputation

arXiv 1901.09764 ↗First posted 28 Jan 2019cs.CV cs.LG stat.MLcited by 33

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Abstract (arXiv)

In many applications requiring multiple inputs to obtain a desired output, if any of the input data is missing, it often introduces large amounts of bias. Although many techniques have been developed for imputing missing data, the image imputation is still difficult due to complicated nature of natural images. To address this problem, here we proposed a novel framework for missing image data imputation, called Collaborative Generative Adversarial Network (CollaGAN). CollaGAN converts an image imputation problem to a multi-domain images-to-image translation task so that a single generator and discriminator network can successfully estimate the missing data using the remaining clean data set. We demonstrate that CollaGAN produces the images with a higher visual quality compared to the existing competing approaches in various image imputation tasks.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jan 2019.

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Citing papers per year: 2021: 9; 2022: 11; 2023: 4; 2024: 7; 2025: 0; 2026: 2.

33 papers.

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  1. 2022Unsupervised Medical Image Translation with Adversarial Diffusion Modelscited by 191
  2. 2021ResViT: Residual vision transformers for multi-modal medical image synthesiscited by 177
  3. 2022SAITS: Self-Attention-based Imputation for Time Seriescited by 167
  4. 2022Diffusion-based Image Translation using Disentangled Style and Content Representationcited by 148
  5. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  6. 2022One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputationcited by 40
  7. 2023Unified Multi-Modal Image Synthesis for Missing Modality Imputationcited by 39
  8. 2024Self-Consistent Recursive Diffusion Bridge for Medical Image Translationcited by 26
  9. 2024I2I-Mamba: Multi-modal medical image synthesis via selective state space modelingcited by 26
  10. 2022Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniquescited by 25
  11. 2023Prototype Knowledge Distillation for Medical Segmentation with Missing Modalitycited by 24
  12. 2021Representation Disentanglement for Multi-modal brain MR Analysiscited by 22
21 more
  1. 2022One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesiscited by 22
  2. 2021Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problemscited by 15
  3. 2021A review and experimental evaluation of deep learning methods for MRI reconstructioncited by 13
  4. 2023Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representationscited by 13
  5. 2021Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networkscited by 8
  6. 2024Unified Cross-Modal Medical Image Synthesis with Hierarchical Mixture of Product-of-Expertscited by 8
  7. 2022Cross-Modality Neuroimage Synthesis: A Surveycited by 6
  8. 2022FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Predictioncited by 4
  9. 2024Learning Modality-Aware Representations: Adaptive Group-wise Interaction Network for Multimodal MRI Synthesiscited by 4
  10. 2021Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imagingcited by 3
  11. 2021IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalancecited by 3
  12. 2022Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Datacited by 3
  13. 2024Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillationcited by 3
  14. 2021Multilevel Stochastic Optimization for Imputation in Massive Medical Data Recordscited by 2
  15. 2023A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Datacited by 2
  16. 2022Supplementing Missing Visions via Dialog for Scene Graph Generationscited by 1
  17. 2022Facing the Void: Overcoming Missing Data in Multi-View Imagerycited by 1
  18. 2024BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Datacited by 0
  19. 2024A Missing Data Imputation GAN for Character Sprite Generationcited by 0
  20. 2026Towards Personalized Multi-Modal MRI Synthesis across Heterogeneous Datasetscited by 0
  21. 2026CLoE: Expert Consistency Learning for Robust Missing Modality Segmentationcited by 0