{"list":"other","total":52,"rows":[{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"1710.10196","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","created":"2017-10-27","cited_by_count":2988},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"2003.12039","title":"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow","created":"2020-03-26","cited_by_count":2415},{"id":"1704.00028","title":"Improved Training of Wasserstein GANs","created":"2017-03-31","cited_by_count":2235},{"id":"1802.05957","title":"Spectral Normalization for Generative Adversarial Networks","created":"2018-02-16","cited_by_count":1636},{"id":"2006.06676","title":"Training Generative Adversarial Networks with Limited Data","created":"2020-06-11","cited_by_count":1186},{"id":"2106.12423","title":"Alias-Free Generative Adversarial Networks","created":"2021-06-23","cited_by_count":1184},{"id":"1611.04076","title":"Least Squares Generative Adversarial Networks","created":"2016-11-13","cited_by_count":1001},{"id":"2103.17249","title":"StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery","created":"2021-03-31","cited_by_count":991},{"id":"2008.00951","title":"Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation","created":"2020-08-03","cited_by_count":727},{"id":"1904.03189","title":"Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?","created":"2019-04-05","cited_by_count":675},{"id":"2004.02546","title":"GANSpace: Discovering Interpretable GAN Controls","created":"2020-04-06","cited_by_count":614},{"id":"2102.02766","title":"Designing an Encoder for StyleGAN Image Manipulation","created":"2021-02-04","cited_by_count":544},{"id":"2106.05744","title":"Pivotal Tuning for Latent-based Editing of Real Images","created":"2021-06-10","cited_by_count":427},{"id":"2004.00049","title":"In-Domain GAN Inversion for Real Image Editing","created":"2020-03-31","cited_by_count":420},{"id":"2007.06600","title":"Closed-Form Factorization of Latent Semantics in GANs","created":"2020-07-13","cited_by_count":408},{"id":"2005.09635","title":"InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs","created":"2020-05-18","cited_by_count":394},{"id":"2101.05278","title":"GAN Inversion: A Survey","created":"2021-01-14","cited_by_count":367},{"id":"1911.11544","title":"Image2StyleGAN++: How to Edit the Embedded Images?","created":"2019-11-26","cited_by_count":356},{"id":"2008.02401","title":"StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows","created":"2020-08-06","cited_by_count":349},{"id":"1609.03552","title":"Generative Visual Manipulation on the Natural Image Manifold","created":"2016-09-12","cited_by_count":348},{"id":"2011.12799","title":"StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation","created":"2020-11-25","cited_by_count":332},{"id":"2004.00121","title":"StyleRig: Rigging StyleGAN for 3D Control over Portrait Images","created":"2020-03-31","cited_by_count":268},{"id":"1808.00449","title":"Learning Blind Video Temporal Consistency","created":"2018-08-01","cited_by_count":253},{"id":"2104.02699","title":"ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement","created":"2021-04-06","cited_by_count":248},{"id":"2009.09960","title":"Towards Fast, Accurate and Stable 3D Dense Face Alignment","created":"2020-09-21","cited_by_count":219},{"id":"1912.07116","title":"Image Processing Using Multi-Code GAN Prior","created":"2019-12-15","cited_by_count":185},{"id":"2004.14367","title":"Editing in Style: Uncovering the Local Semantics of GANs","created":"2020-04-29","cited_by_count":183},{"id":"2005.07727","title":"Semantic Photo Manipulation with a Generative Image Prior","created":"2020-05-15","cited_by_count":178},{"id":"2109.11418","title":"Layered Neural Atlases for Consistent Video Editing","created":"2021-09-23","cited_by_count":137},{"id":"1703.09211","title":"Coherent Online Video Style Transfer","created":"2017-03-27","cited_by_count":96},{"id":"2102.02754","title":"Only a Matter of Style: Age Transformation Using a Style-Based Regression Model","created":"2021-02-04","cited_by_count":92},{"id":"2003.03581","title":"StyleGAN2 Distillation for Feed-forward Image Manipulation","created":"2020-03-07","cited_by_count":78},{"id":"2005.01703","title":"Transforming and Projecting Images into Class-conditional Generative Networks","created":"2020-05-04","cited_by_count":76},{"id":"2010.11838","title":"Blind Video Temporal Consistency via Deep Video Prior","created":"2020-10-22","cited_by_count":76},{"id":"2201.08361","title":"Stitch it in Time: GAN-Based Facial Editing of Real Videos","created":"2022-01-20","cited_by_count":68},{"id":"2106.11895","title":"A Latent Transformer for Disentangled Face Editing in Images and Videos","created":"2021-06-22","cited_by_count":67},{"id":"2011.11731","title":"HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms","created":"2020-11-23","cited_by_count":64},{"id":"2103.10426","title":"Using latent space regression to analyze and leverage compositionality in GANs","created":"2021-03-18","cited_by_count":55},{"id":"2201.13433","title":"Third Time's the Charm? Image and Video Editing with StyleGAN3","created":"2022-01-31","cited_by_count":54},{"id":"2104.00820","title":"LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions","created":"2021-04-02","cited_by_count":52},{"id":"2004.01180","title":"Learning to See Through Obstructions","created":"2020-04-02","cited_by_count":38},{"id":"2010.05713","title":"Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network","created":"2020-10-12","cited_by_count":36},{"id":"2103.03891","title":"LOHO: Latent Optimization of Hairstyles via Orthogonalization","created":"2021-03-05","cited_by_count":30},{"id":"1911.12287","title":"Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models","created":"2019-11-27","cited_by_count":21},{"id":"1703.10094","title":"Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets","created":"2017-03-29","cited_by_count":17},{"id":"2201.04329","title":"Neural Residual Flow Fields for Efficient Video Representations","created":"2022-01-12","cited_by_count":16},{"id":"2109.10737","title":"DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing","created":"2021-09-22","cited_by_count":7}],"next_cursor":null}