{"list":"other","total":53,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"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":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627},{"id":"1512.00567","title":"Rethinking the Inception Architecture for Computer Vision","created":"2015-12-02","cited_by_count":5475},{"id":"1611.07004","title":"Image-to-Image Translation with Conditional Adversarial Networks","created":"2016-11-21","cited_by_count":4527},{"id":"2012.09841","title":"Taming Transformers for High-Resolution Image Synthesis","created":"2020-12-17","cited_by_count":3253},{"id":"1606.00915","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","created":"2016-06-02","cited_by_count":3241},{"id":"1512.03012","title":"ShapeNet: An Information-Rich 3D Model Repository","created":"2015-12-09","cited_by_count":2897},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1907.01341","title":"Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer","created":"2019-07-02","cited_by_count":1495},{"id":"1711.11585","title":"High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs","created":"2017-11-30","cited_by_count":1179},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"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":"1804.04732","title":"Multimodal Unsupervised Image-to-Image Translation","created":"2018-04-12","cited_by_count":795},{"id":"1504.06375","title":"Holistically-Nested Edge Detection","created":"2015-04-24","cited_by_count":592},{"id":"1704.03477","title":"A Neural Representation of Sketch Drawings","created":"2017-04-11","cited_by_count":313},{"id":"1704.02510","title":"DualGAN: Unsupervised Dual Learning for Image-to-Image Translation","created":"2017-04-08","cited_by_count":310},{"id":"1703.05192","title":"Learning to Discover Cross-Domain Relations with Generative Adversarial Networks","created":"2017-03-15","cited_by_count":278},{"id":"1707.09405","title":"Photographic Image Synthesis with Cascaded Refinement Networks","created":"2017-07-28","cited_by_count":223},{"id":"2106.14843","title":"CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders","created":"2021-06-28","cited_by_count":187},{"id":"1907.10830","title":"U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation","created":"2019-07-25","cited_by_count":186},{"id":"1604.03901","title":"Single-Image Depth Perception in the Wild","created":"2016-04-13","cited_by_count":180},{"id":"2105.14021","title":"Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging","created":"2021-05-28","cited_by_count":104},{"id":"1804.01118","title":"Synthesizing Programs for Images using Reinforced Adversarial Learning","created":"2018-04-03","cited_by_count":72},{"id":"1903.04411","title":"Learning to Paint With Model-based Deep Reinforcement Learning","created":"2019-03-11","cited_by_count":71},{"id":"1901.00542","title":"Photo-Sketching: Inferring Contour Drawings from Images","created":"2019-01-02","cited_by_count":68},{"id":"1712.02950","title":"CycleGAN, a Master of Steganography","created":"2017-12-08","cited_by_count":65},{"id":"2007.12072","title":"TSIT: A Simple and Versatile Framework for Image-to-Image Translation","created":"2020-07-23","cited_by_count":64},{"id":"2108.03798","title":"Paint Transformer: Feed Forward Neural Painting with Stroke Prediction","created":"2021-08-09","cited_by_count":62},{"id":"2003.00273","title":"Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation","created":"2020-02-29","cited_by_count":60},{"id":"2003.04858","title":"Unpaired Image-to-Image Translation using Adversarial Consistency Loss","created":"2020-03-10","cited_by_count":43},{"id":"2007.02190","title":"B\\'ezierSketch: A generative model for scalable vector sketches","created":"2020-07-04","cited_by_count":43},{"id":"1911.10538","title":"Breaking the cycle -- Colleagues are all you need","created":"2019-11-24","cited_by_count":40},{"id":"1712.06909","title":"ComboGAN: Unrestrained Scalability for Image Domain Translation","created":"2017-12-19","cited_by_count":37},{"id":"1904.08921","title":"Deep Parametric Shape Predictions using Distance Fields","created":"2019-04-18","cited_by_count":30},{"id":"1904.08410","title":"Neural Painters: A learned differentiable constraint for generating brushstroke paintings","created":"2019-04-17","cited_by_count":28},{"id":"2002.06260","title":"Why Do Line Drawings Work? A Realism Hypothesis","created":"2020-02-14","cited_by_count":28},{"id":"1903.08682","title":"Im2Pencil: Controllable Pencil Illustration from Photographs","created":"2019-03-20","cited_by_count":18},{"id":"2009.04806","title":"SketchEmbedNet: Learning Novel Concepts by Imitating Drawings","created":"2020-08-27","cited_by_count":18},{"id":"2103.16219","title":"SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation","created":"2021-03-30","cited_by_count":17},{"id":"1801.01922","title":"Vectorization of Line Drawings via PolyVector Fields","created":"2018-01-05","cited_by_count":16},{"id":"2003.10333","title":"Neural Contours: Learning to Draw Lines from 3D Shapes","created":"2020-03-23","cited_by_count":15},{"id":"2109.11736","title":"Unaligned Image-to-Image Translation by Learning to Reweight","created":"2021-09-24","cited_by_count":13},{"id":"2110.03900","title":"Neural Strokes: Stylized Line Drawing of 3D Shapes","created":"2021-10-08","cited_by_count":13},{"id":"1703.08966","title":"Mastering Sketching: Adversarial Augmentation for Structured Prediction","created":"2017-03-27","cited_by_count":12},{"id":"1810.01175","title":"Line Drawings from 3D Models","created":"2018-10-02","cited_by_count":7},{"id":"1809.08340","title":"Unsupervised Image to Sequence Translation with Canvas-Drawer Networks","created":"2018-09-21","cited_by_count":5},{"id":"2101.09376","title":"The Role of Edges in Line Drawing Perception","created":"2021-01-22","cited_by_count":3}],"next_cursor":null}