{"total":43,"rows":[{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627,"area":null},{"id":"2104.06954","title":"Aligning Latent and Image Spaces to Connect the Unconnectable","created":"2021-04-14","cited_by_count":70,"area":null},{"id":"2103.15545","title":"Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models","created":"2021-03-29","cited_by_count":51,"area":null},{"id":"2303.14468","title":"Autoregressive Conditional Neural Processes","created":"2023-03-25","cited_by_count":33,"area":null},{"id":"2201.05120","title":"SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps","created":"2022-01-13","cited_by_count":19,"area":null},{"id":"2211.03796","title":"Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy","created":"2022-11-07","cited_by_count":17,"area":null},{"id":"2106.03785","title":"Generative Adversarial Networks: A Survey Towards Private and Secure Applications","created":"2021-06-07","cited_by_count":15,"area":null},{"id":"2203.01488","title":"PetsGAN: Rethinking Priors for Single Image Generation","created":"2022-03-03","cited_by_count":14,"area":null},{"id":"2106.07140","title":"SinIR: Efficient General Image Manipulation with Single Image Reconstruction","created":"2021-06-14","cited_by_count":13,"area":null},{"id":"2109.08591","title":"Diverse Generation from a Single Video Made Possible","created":"2021-09-17","cited_by_count":13,"area":null},{"id":"2105.04184","title":"Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation","created":"2021-05-10","cited_by_count":11,"area":null},{"id":"2204.13620","title":"Generative Adversarial Networks for Image Super-Resolution: A Survey","created":"2022-04-28","cited_by_count":11,"area":null},{"id":"2102.03141","title":"CharacterGAN: Few-Shot Keypoint Character Animation and Reposing","created":"2021-02-05","cited_by_count":9,"area":null},{"id":"2401.17509","title":"Anything in Any Scene: Photorealistic Video Object Insertion","created":"2024-01-30","cited_by_count":9,"area":null},{"id":"2103.13389","title":"Generating Novel Scene Compositions from Single Images and Videos","created":"2021-03-24","cited_by_count":8,"area":null},{"id":"2401.02847","title":"Generating Non-Stationary Textures using Self-Rectification","created":"2024-01-05","cited_by_count":8,"area":null},{"id":"2202.11703","title":"Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis","created":"2022-02-23","cited_by_count":4,"area":null},{"id":"2208.12278","title":"Learning Continuous Implicit Representation for Near-Periodic Patterns","created":"2022-08-25","cited_by_count":4,"area":null},{"id":"2309.14759","title":"Diffusion-based Holistic Texture Rectification and Synthesis","created":"2023-09-26","cited_by_count":4,"area":null},{"id":"2203.04221","title":"Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2","created":"2022-03-08","cited_by_count":3,"area":null},{"id":"2204.01671","title":"Exemplar-based Pattern Synthesis with Implicit Periodic Field Network","created":"2022-04-04","cited_by_count":3,"area":null},{"id":"2212.09983","title":"Texture Representation via Analysis and Synthesis with Generative Adversarial Networks","created":"2022-12-20","cited_by_count":3,"area":null},{"id":"2309.02340","title":"Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture Synthesis","created":"2023-09-05","cited_by_count":3,"area":null},{"id":"2102.04780","title":"Diverse Single Image Generation with Controllable Global Structure","created":"2021-02-09","cited_by_count":2,"area":null},{"id":"2212.01589","title":"BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning","created":"2022-12-03","cited_by_count":2,"area":null},{"id":"2305.13318","title":"A stable deep adversarial learning approach for geological facies generation","created":"2023-05-12","cited_by_count":2,"area":null},{"id":"2306.05951","title":"Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model","created":"2023-06-09","cited_by_count":2,"area":null},{"id":"2410.14844","title":"SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection","created":"2024-10-18","cited_by_count":2,"area":null},{"id":"2103.12896","title":"SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms","created":"2021-03-23","cited_by_count":1,"area":null},{"id":"2105.10825","title":"Texture synthesis via projection onto multiscale, multilayer statistics","created":"2021-05-22","cited_by_count":1,"area":null},{"id":"2111.11578","title":"Generative Adversarial Networks for Astronomical Images Generation","created":"2021-11-22","cited_by_count":1,"area":null},{"id":"2302.01616","title":"A geometrically aware auto-encoder for multi-texture synthesis","created":"2023-02-03","cited_by_count":1,"area":null},{"id":"2305.06200","title":"Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis","created":"2023-05-10","cited_by_count":1,"area":null},{"id":"2307.04228","title":"Bayesian tomography using polynomial chaos expansion and deep generative networks","created":"2023-07-09","cited_by_count":1,"area":null},{"id":"2406.01136","title":"Towards Practical Single-shot Motion Synthesis","created":"2024-06-03","cited_by_count":1,"area":null},{"id":"2412.10004","title":"NeRF-Texture: Synthesizing Neural Radiance Field Textures","created":"2024-12-13","cited_by_count":1,"area":null},{"id":"2109.06151","title":"Image Shape Manipulation from a Single Augmented Training Sample","created":"2021-09-13","cited_by_count":0,"area":null},{"id":"2112.14804","title":"Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image Recognition","created":"2021-12-29","cited_by_count":0,"area":null},{"id":"2302.09346","title":"Redes Generativas Adversarias (GAN) Fundamentos Te\\'oricos y Aplicaciones","created":"2023-02-18","cited_by_count":0,"area":null},{"id":"2410.16019","title":"Multispectral Texture Synthesis using RGB Convolutional Neural Networks","created":"2024-10-21","cited_by_count":0,"area":null},{"id":"2501.13812","title":"By-Example Synthesis of Vector Textures","created":"2025-01-23","cited_by_count":0,"area":null},{"id":"2502.01842","title":"Texture Image Synthesis Using Spatial GAN Based on Vision Transformers","created":"2025-02-03","cited_by_count":0,"area":null},{"id":"2606.13252","title":"To GAN or Not To GAN: Segmentation Analysis on Mars DEM","created":"2026-06-11","cited_by_count":0,"area":null}],"next_cursor":null}