{"list":"other","total":66,"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":"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":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"1611.07004","title":"Image-to-Image Translation with Conditional Adversarial Networks","created":"2016-11-21","cited_by_count":4527},{"id":"1604.01685","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","created":"2016-04-06","cited_by_count":4444},{"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":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"1811.12231","title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","created":"2018-11-29","cited_by_count":1432},{"id":"1903.07291","title":"Semantic Image Synthesis with Spatially-Adaptive Normalization","created":"2019-03-18","cited_by_count":1299},{"id":"1807.10221","title":"Unified Perceptual Parsing for Scene Understanding","created":"2018-07-26","cited_by_count":1271},{"id":"1711.11585","title":"High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs","created":"2017-11-30","cited_by_count":1179},{"id":"1711.09020","title":"StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation","created":"2017-11-24","cited_by_count":1039},{"id":"1612.03716","title":"COCO-Stuff: Thing and Stuff Classes in Context","created":"2016-12-12","cited_by_count":864},{"id":"1608.02192","title":"Playing for Data: Ground Truth from Computer Games","created":"2016-08-07","cited_by_count":818},{"id":"1804.04732","title":"Multimodal Unsupervised Image-to-Image Translation","created":"2018-04-12","cited_by_count":795},{"id":"1605.05396","title":"Generative Adversarial Text to Image Synthesis","created":"2016-05-17","cited_by_count":735},{"id":"1801.04406","title":"Which Training Methods for GANs do actually Converge?","created":"2018-01-13","cited_by_count":679},{"id":"1711.10485","title":"AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks","created":"2017-11-28","cited_by_count":664},{"id":"2007.15651","title":"Contrastive Learning for Unpaired Image-to-Image Translation","created":"2020-07-30","cited_by_count":639},{"id":"1703.00848","title":"Unsupervised Image-to-Image Translation Networks","created":"2017-03-02","cited_by_count":603},{"id":"1412.7062","title":"Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs","created":"2014-12-22","cited_by_count":554},{"id":"1704.02510","title":"DualGAN: Unsupervised Dual Learning for Image-to-Image Translation","created":"2017-04-08","cited_by_count":310},{"id":"1612.05424","title":"Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks","created":"2016-12-16","cited_by_count":308},{"id":"1711.11586","title":"Toward Multimodal Image-to-Image Translation","created":"2017-11-30","cited_by_count":296},{"id":"1808.00948","title":"Diverse Image-to-Image Translation via Disentangled Representations","created":"2018-08-02","cited_by_count":296},{"id":"1705.09914","title":"Dilated Residual Networks","created":"2017-05-28","cited_by_count":294},{"id":"1612.07828","title":"Learning from Simulated and Unsupervised Images through Adversarial Training","created":"2016-12-22","cited_by_count":288},{"id":"2003.01826","title":"Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions","created":"2020-03-03","cited_by_count":280},{"id":"1802.05637","title":"cGANs with Projection Discriminator","created":"2018-02-15","cited_by_count":254},{"id":"1911.12861","title":"SEAN: Image Synthesis with Semantic Region-Adaptive Normalization","created":"2019-11-28","cited_by_count":253},{"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":"1707.09405","title":"Photographic Image Synthesis with Cascaded Refinement Networks","created":"2017-07-28","cited_by_count":223},{"id":"1602.02644","title":"Generating Images with Perceptual Similarity Metrics based on Deep Networks","created":"2016-02-08","cited_by_count":222},{"id":"2004.14367","title":"Editing in Style: Uncovering the Local Semantics of GANs","created":"2020-04-29","cited_by_count":183},{"id":"1903.09760","title":"Photorealistic Style Transfer via Wavelet Transforms","created":"2019-03-23","cited_by_count":166},{"id":"1911.06465","title":"Fourier Spectrum Discrepancies in Deep Network Generated Images","created":"2019-11-15","cited_by_count":139},{"id":"2012.04781","title":"You Only Need Adversarial Supervision for Semantic Image Synthesis","created":"2020-12-08","cited_by_count":129},{"id":"2002.12655","title":"A U-Net Based Discriminator for Generative Adversarial Networks","created":"2020-02-28","cited_by_count":128},{"id":"1611.02200","title":"Unsupervised Cross-Domain Image Generation","created":"2016-11-07","cited_by_count":125},{"id":"1809.05852","title":"Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping","created":"2018-09-16","cited_by_count":113},{"id":"1910.06809","title":"Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis","created":"2019-10-15","cited_by_count":108},{"id":"1801.05091","title":"Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis","created":"2018-01-16","cited_by_count":101},{"id":"1706.00826","title":"One-Sided Unsupervised Domain Mapping","created":"2017-06-02","cited_by_count":91},{"id":"1610.09736","title":"A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction","created":"2016-10-31","cited_by_count":87},{"id":"1802.10151","title":"Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data","created":"2018-02-27","cited_by_count":76},{"id":"1912.12215","title":"Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation","created":"2019-12-27","cited_by_count":75},{"id":"1907.03128","title":"Multi-level Wavelet Convolutional Neural Networks","created":"2019-07-06","cited_by_count":59},{"id":"2007.07173","title":"Wavelet-Based Dual-Branch Network for Image Demoireing","created":"2020-07-14","cited_by_count":55},{"id":"1804.10992","title":"Semi-parametric Image Synthesis","created":"2018-04-29","cited_by_count":50},{"id":"1904.09571","title":"TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation","created":"2019-04-21","cited_by_count":40},{"id":"1903.12296","title":"Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation","created":"2019-03-28","cited_by_count":39},{"id":"2012.05535","title":"SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains","created":"2020-12-10","cited_by_count":38},{"id":"1902.09631","title":"TraVeLGAN: Image-to-image Translation by Transformation Vector Learning","created":"2019-02-25","cited_by_count":35},{"id":"1809.06647","title":"Attribute-aware Face Aging with Wavelet-based Generative Adversarial Networks","created":"2018-09-18","cited_by_count":34},{"id":"2008.00499","title":"Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video","created":"2020-08-02","cited_by_count":26},{"id":"1808.04325","title":"Improving Shape Deformation in Unsupervised Image-to-Image Translation","created":"2018-08-13","cited_by_count":19},{"id":"1902.09727","title":"Harmonic Unpaired Image-to-image Translation","created":"2019-02-26","cited_by_count":18},{"id":"2102.06108","title":"SWAGAN: A Style-based Wavelet-driven Generative Model","created":"2021-02-11","cited_by_count":17},{"id":"1907.10213","title":"Image Super-Resolution Using a Wavelet-based Generative Adversarial Network","created":"2019-07-24","cited_by_count":6},{"id":"2004.02867","title":"Rethinking Spatially-Adaptive Normalization","created":"2020-04-06","cited_by_count":6}],"next_cursor":null}