{"list":"other","total":54,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"2103.14030","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows","created":"2021-03-25","cited_by_count":12139},{"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":"1607.06450","title":"Layer Normalization","created":"2016-07-21","cited_by_count":5669},{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627},{"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":"2105.15203","title":"SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers","created":"2021-05-31","cited_by_count":2940},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1711.07971","title":"Non-local Neural Networks","created":"2017-11-21","cited_by_count":2293},{"id":"1609.04802","title":"Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network","created":"2016-09-15","cited_by_count":1908},{"id":"1604.07379","title":"Context Encoders: Feature Learning by Inpainting","created":"2016-04-25","cited_by_count":1428},{"id":"2103.15808","title":"CvT: Introducing Convolutions to Vision Transformers","created":"2021-03-29","cited_by_count":947},{"id":"2109.07161","title":"Resolution-robust Large Mask Inpainting with Fourier Convolutions","created":"2021-09-15","cited_by_count":738},{"id":"1801.04406","title":"Which Training Methods for GANs do actually Converge?","created":"2018-01-13","cited_by_count":679},{"id":"2108.08810","title":"Do Vision Transformers See Like Convolutional Neural Networks?","created":"2021-08-19","cited_by_count":675},{"id":"1806.03589","title":"Free-Form Image Inpainting with Gated Convolution","created":"2018-06-10","cited_by_count":594},{"id":"1801.07892","title":"Generative Image Inpainting with Contextual Attention","created":"2018-01-24","cited_by_count":580},{"id":"1804.07723","title":"Image Inpainting for Irregular Holes Using Partial Convolutions","created":"2018-04-20","cited_by_count":505},{"id":"2106.14881","title":"Early Convolutions Help Transformers See Better","created":"2021-06-28","cited_by_count":396},{"id":"1711.09404","title":"Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients","created":"2017-11-26","cited_by_count":236},{"id":"2103.10428","title":"Large Scale Image Completion via Co-Modulated Generative Adversarial Networks","created":"2021-03-18","cited_by_count":220},{"id":"1612.07919","title":"EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis","created":"2016-12-23","cited_by_count":178},{"id":"1901.00212","title":"EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning","created":"2019-01-01","cited_by_count":163},{"id":"1903.04227","title":"Pluralistic Image Completion","created":"2019-03-11","cited_by_count":162},{"id":"2103.14031","title":"High-Fidelity Pluralistic Image Completion with Transformers","created":"2021-03-25","cited_by_count":134},{"id":"2005.09704","title":"Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting","created":"2020-05-19","cited_by_count":124},{"id":"1908.03852","title":"StructureFlow: Image Inpainting via Structure-aware Appearance Flow","created":"2019-08-11","cited_by_count":118},{"id":"2008.03737","title":"Recurrent Feature Reasoning for Image Inpainting","created":"2020-08-09","cited_by_count":107},{"id":"1902.06838","title":"SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color","created":"2019-02-18","cited_by_count":106},{"id":"2007.06929","title":"Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations","created":"2020-07-14","cited_by_count":102},{"id":"1905.12384","title":"Coherent Semantic Attention for Image Inpainting","created":"2019-05-29","cited_by_count":97},{"id":"2004.09484","title":"Bringing Old Photos Back to Life","created":"2020-04-20","cited_by_count":95},{"id":"1904.07475","title":"Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting","created":"2019-04-16","cited_by_count":94},{"id":"1901.05945","title":"Foreground-aware Image Inpainting","created":"2019-01-17","cited_by_count":90},{"id":"2104.01431","title":"Aggregated Contextual Transformations for High-Resolution Image Inpainting","created":"2021-04-03","cited_by_count":89},{"id":"1801.09392","title":"Shift-Net: Image Inpainting via Deep Feature Rearrangement","created":"2018-01-29","cited_by_count":87},{"id":"1810.08771","title":"Image Inpainting via Generative Multi-column Convolutional Neural Networks","created":"2018-10-20","cited_by_count":81},{"id":"2104.12335","title":"Diverse Image Inpainting with Bidirectional and Autoregressive Transformers","created":"2021-04-26","cited_by_count":80},{"id":"2005.11742","title":"High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling","created":"2020-05-24","cited_by_count":79},{"id":"1909.00968","title":"Image Inpainting with Learnable Bidirectional Attention Maps","created":"2019-09-03","cited_by_count":64},{"id":"1805.03356","title":"SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting","created":"2018-05-09","cited_by_count":58},{"id":"1908.08718","title":"Onion-Peel Networks for Deep Video Completion","created":"2019-08-23","cited_by_count":46},{"id":"2104.13743","title":"Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness","created":"2021-04-28","cited_by_count":35},{"id":"1810.01365","title":"On Self Modulation for Generative Adversarial Networks","created":"2018-10-02","cited_by_count":34},{"id":"2009.07047","title":"Old Photo Restoration via Deep Latent Space Translation","created":"2020-09-14","cited_by_count":27},{"id":"1907.10478","title":"Progressive Image Inpainting with Full-Resolution Residual Network","created":"2019-07-24","cited_by_count":19},{"id":"1909.12507","title":"Region-wise Generative Adversarial ImageInpainting for Large Missing Areas","created":"2019-09-27","cited_by_count":18},{"id":"1708.02731","title":"Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting","created":"2017-08-09","cited_by_count":15}],"next_cursor":null}