{"list":"other","total":80,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"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":"1607.08022","title":"Instance Normalization: The Missing Ingredient for Fast Stylization","created":"2016-07-27","cited_by_count":1198},{"id":"1504.06852","title":"FlowNet: Learning Optical Flow with Convolutional Networks","created":"2015-04-26","cited_by_count":1059},{"id":"1704.00675","title":"The 2017 DAVIS Challenge on Video Object Segmentation","created":"2017-04-03","cited_by_count":957},{"id":"1608.02192","title":"Playing for Data: Ground Truth from Computer Games","created":"2016-08-07","cited_by_count":818},{"id":"2103.10385","title":"GPT Understands, Too","created":"2021-03-18","cited_by_count":716},{"id":"1504.06375","title":"Holistically-Nested Edge Detection","created":"2015-04-24","cited_by_count":592},{"id":"1508.06576","title":"A Neural Algorithm of Artistic Style","created":"2015-08-26","cited_by_count":483},{"id":"1709.05424","title":"NIMA: Neural Image Assessment","created":"2017-09-15","cited_by_count":389},{"id":"1705.08086","title":"Universal Style Transfer via Feature Transforms","created":"2017-05-23","cited_by_count":354},{"id":"1905.01164","title":"SinGAN: Learning a Generative Model from a Single Natural Image","created":"2019-05-02","cited_by_count":348},{"id":"1610.07629","title":"A Learned Representation For Artistic Style","created":"2016-10-24","cited_by_count":341},{"id":"1808.00449","title":"Learning Blind Video Temporal Consistency","created":"2018-08-01","cited_by_count":253},{"id":"1701.02096","title":"Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis","created":"2017-01-09","cited_by_count":215},{"id":"1705.04058","title":"Neural Style Transfer: A Review","created":"2017-05-11","cited_by_count":199},{"id":"1812.02342","title":"Arbitrary Style Transfer with Style-Attentional Networks","created":"2018-12-06","cited_by_count":198},{"id":"1604.04382","title":"Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks","created":"2016-04-15","cited_by_count":192},{"id":"2105.14576","title":"StyTr$^2$: Image Style Transfer with Transformers","created":"2021-05-30","cited_by_count":187},{"id":"1604.03901","title":"Single-Image Depth Perception in the Wild","created":"2016-04-13","cited_by_count":180},{"id":"2108.03647","title":"AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer","created":"2021-08-08","cited_by_count":178},{"id":"1603.03417","title":"Texture Networks: Feed-forward Synthesis of Textures and Stylized Images","created":"2016-03-10","cited_by_count":174},{"id":"1703.07511","title":"Deep Photo Style Transfer","created":"2017-03-22","cited_by_count":168},{"id":"1903.09760","title":"Photorealistic Style Transfer via Wavelet Transforms","created":"2019-03-23","cited_by_count":166},{"id":"1704.02470","title":"DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks","created":"2017-04-08","cited_by_count":156},{"id":"1701.01036","title":"Demystifying Neural Style Transfer","created":"2017-01-04","cited_by_count":152},{"id":"1612.02103","title":"Richer Convolutional Features for Edge Detection","created":"2016-12-07","cited_by_count":143},{"id":"1802.06474","title":"A Closed-form Solution to Photorealistic Image Stylization","created":"2018-02-19","cited_by_count":133},{"id":"2103.16877","title":"ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows","created":"2021-03-31","cited_by_count":113},{"id":"2101.07396","title":"ArtEmis: Affective Language for Visual Art","created":"2021-01-19","cited_by_count":104},{"id":"1601.04589","title":"Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis","created":"2016-01-18","cited_by_count":102},{"id":"1611.07865","title":"Controlling Perceptual Factors in Neural Style Transfer","created":"2016-11-23","cited_by_count":100},{"id":"1612.04337","title":"Fast Patch-based Style Transfer of Arbitrary Style","created":"2016-12-13","cited_by_count":92},{"id":"1410.5926","title":"Salient Object Detection: A Discriminative Regional Feature Integration Approach","created":"2014-10-22","cited_by_count":89},{"id":"1703.09210","title":"StyleBank: An Explicit Representation for Neural Image Style Transfer","created":"2017-03-27","cited_by_count":89},{"id":"1705.06830","title":"Exploring the structure of a real-time, arbitrary neural artistic stylization network","created":"2017-05-18","cited_by_count":89},{"id":"2009.08003","title":"Arbitrary Video Style Transfer via Multi-Channel Correlation","created":"2020-09-17","cited_by_count":84},{"id":"2006.13846","title":"Understanding SSIM","created":"2020-06-24","cited_by_count":77},{"id":"1805.04103","title":"Arbitrary Style Transfer with Deep Feature Reshuffle","created":"2018-05-10","cited_by_count":75},{"id":"1701.08893","title":"Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses","created":"2017-01-31","cited_by_count":69},{"id":"1311.3715","title":"Recognizing Image Style","created":"2013-11-15","cited_by_count":64},{"id":"1703.06953","title":"Multi-style Generative Network for Real-time Transfer","created":"2017-03-20","cited_by_count":61},{"id":"1908.03706","title":"Exploiting temporal consistency for real-time video depth estimation","created":"2019-08-10","cited_by_count":61},{"id":"1901.08644","title":"Ablation Studies in Artificial Neural Networks","created":"2019-01-24","cited_by_count":60},{"id":"1703.01664","title":"Diversified Texture Synthesis with Feed-forward Networks","created":"2017-03-05","cited_by_count":59},{"id":"1807.10201","title":"A Style-Aware Content Loss for Real-time HD Style Transfer","created":"2018-07-26","cited_by_count":58},{"id":"1604.08610","title":"Artistic style transfer for videos","created":"2016-04-28","cited_by_count":55},{"id":"2207.12280","title":"ArtFID: Quantitative Evaluation of Neural Style Transfer","created":"2022-07-25","cited_by_count":49},{"id":"2303.15166","title":"Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method","created":"2023-03-27","cited_by_count":49},{"id":"2207.04808","title":"CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer","created":"2022-07-11","cited_by_count":46},{"id":"1708.04538","title":"Artistic style transfer for videos and spherical images","created":"2017-08-13","cited_by_count":45},{"id":"1704.08614","title":"BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography","created":"2017-04-27","cited_by_count":43},{"id":"1912.02398","title":"Ultrafast Photorealistic Style Transfer via Neural Architecture Search","created":"2019-12-05","cited_by_count":39},{"id":"1906.02913","title":"Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer","created":"2019-06-07","cited_by_count":36},{"id":"2303.13511","title":"Neural Preset for Color Style Transfer","created":"2023-03-23","cited_by_count":36},{"id":"2005.10777","title":"Manifold Alignment for Semantically Aligned Style Transfer","created":"2020-05-21","cited_by_count":34},{"id":"2307.09724","title":"AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks","created":"2023-07-19","cited_by_count":34},{"id":"1807.01197","title":"ReCoNet: Real-time Coherent Video Style Transfer Network","created":"2018-07-03","cited_by_count":26},{"id":"2010.10056","title":"Real-time Localized Photorealistic Video Style Transfer","created":"2020-10-20","cited_by_count":24},{"id":"2208.13016","title":"AesUST: Towards Aesthetic-Enhanced Universal Style Transfer","created":"2022-08-27","cited_by_count":21},{"id":"1707.01253","title":"Laplacian-Steered Neural Style Transfer","created":"2017-07-05","cited_by_count":18},{"id":"2212.10431","title":"QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity","created":"2022-12-20","cited_by_count":18},{"id":"2212.04105","title":"All-to-key Attention for Arbitrary Style Transfer","created":"2022-12-08","cited_by_count":16},{"id":"2201.02233","title":"Consistent Style Transfer","created":"2022-01-06","cited_by_count":13},{"id":"2304.00414","title":"Learning Dynamic Style Kernels for Artistic Style Transfer","created":"2023-04-02","cited_by_count":12},{"id":"2304.11335","title":"Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers","created":"2023-04-22","cited_by_count":12},{"id":"2206.11461","title":"Towards Better User Studies in Computer Graphics and Vision","created":"2022-06-23","cited_by_count":11},{"id":"2303.12710","title":"A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning","created":"2023-03-09","cited_by_count":10},{"id":"2305.04923","title":"Learning to Evaluate the Artness of AI-generated Images","created":"2023-05-08","cited_by_count":10},{"id":"1709.09828","title":"Photorealistic Style Transfer with Screened Poisson Equation","created":"2017-09-28","cited_by_count":9},{"id":"2203.09242","title":"Depth-aware Neural Style Transfer using Instance Normalization","created":"2022-03-17","cited_by_count":9},{"id":"2304.11818","title":"Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer","created":"2023-04-24","cited_by_count":9},{"id":"1908.11525","title":"Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation","created":"2019-08-30","cited_by_count":7},{"id":"2304.05139","title":"NeAT: Neural Artistic Tracing for Beautiful Style Transfer","created":"2023-04-11","cited_by_count":4},{"id":"1901.03915","title":"Automated Deep Photo Style Transfer","created":"2019-01-12","cited_by_count":3}],"next_cursor":null}