{"total":22,"rows":[{"id":"2102.09003","title":"Domain Impression: A Source Data Free Domain Adaptation Method","created":"2021-02-17","cited_by_count":91,"area":null},{"id":"2106.07873","title":"Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images","created":"2021-06-15","cited_by_count":58,"area":null},{"id":"2303.16976","title":"MaLP: Manipulation Localization Using a Proactive Scheme","created":"2023-03-29","cited_by_count":26,"area":null},{"id":"2303.10787","title":"Diffusion-based Document Layout Generation","created":"2023-03-19","cited_by_count":21,"area":null},{"id":"2108.06515","title":"Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies","created":"2021-08-14","cited_by_count":6,"area":null},{"id":"2110.08718","title":"AE-StyleGAN: Improved Training of Style-Based Auto-Encoders","created":"2021-10-17","cited_by_count":5,"area":null},{"id":"2112.01925","title":"Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study","created":"2021-12-03","cited_by_count":5,"area":null},{"id":"2106.07020","title":"Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks","created":"2021-06-13","cited_by_count":2,"area":null},{"id":"2106.15176","title":"TUCaN: Progressively Teaching Colourisation to Capsules","created":"2021-06-29","cited_by_count":1,"area":null},{"id":"2202.08143","title":"Bias in Automated Image Colorization: Metrics and Error Types","created":"2022-02-16","cited_by_count":1,"area":null},{"id":"2204.02980","title":"Analysis of Different Losses for Deep Learning Image Colorization","created":"2022-04-06","cited_by_count":1,"area":null},{"id":"2101.07576","title":"Collaboration among Image and Object Level Features for Image Colourisation","created":"2021-01-19","cited_by_count":0,"area":null},{"id":"2204.02850","title":"Influence of Color Spaces for Deep Learning Image Colorization","created":"2022-04-06","cited_by_count":0,"area":null},{"id":"2206.05516","title":"Deep Learning-Based MR Image Re-parameterization","created":"2022-06-11","cited_by_count":0,"area":null},{"id":"2208.08295","title":"ParaColorizer: Realistic Image Colorization using Parallel Generative Networks","created":"2022-08-17","cited_by_count":0,"area":null},{"id":"2307.01091","title":"UW-ProCCaps: UnderWater Progressive Colourisation with Capsules","created":"2023-07-03","cited_by_count":0,"area":null},{"id":"2312.13506","title":"SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization","created":"2023-12-21","cited_by_count":0,"area":null},{"id":"2401.11425","title":"Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain","created":"2024-01-21","cited_by_count":0,"area":null},{"id":"2505.16310","title":"Paired and Unpaired Image to Image Translation using Generative Adversarial Networks","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2508.05068","title":"Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2512.09278","title":"LoGoColor: Local-Global 3D Colorization for 360{\\deg} Scenes","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2608.02835","title":"A Human-in-the-Loop Deep Learning Framework for Color Reconstruction of Lenticular Films","created":"2026-08-03","cited_by_count":0,"area":null}],"next_cursor":null}