{"list":"other","total":51,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"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":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"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":"2401.10891","title":"Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data","created":"2024-01-19","cited_by_count":1360},{"id":"1905.01164","title":"SinGAN: Learning a Generative Model from a Single Natural Image","created":"2019-05-02","cited_by_count":348},{"id":"2312.02133","title":"Style Aligned Image Generation via Shared Attention","created":"2023-12-04","cited_by_count":216},{"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":"1812.02342","title":"Arbitrary Style Transfer with Style-Attentional Networks","created":"2018-12-06","cited_by_count":198},{"id":"2312.09008","title":"Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer","created":"2023-12-11","cited_by_count":196},{"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":"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":"2403.14468","title":"AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks","created":"2024-03-21","cited_by_count":154},{"id":"2206.06360","title":"ARF: Artistic Radiance Fields","created":"2022-06-13","cited_by_count":147},{"id":"1805.03857","title":"Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration","created":"2018-05-10","cited_by_count":115},{"id":"2103.16877","title":"ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows","created":"2021-03-31","cited_by_count":113},{"id":"1612.04337","title":"Fast Patch-based Style Transfer of Arbitrary Style","created":"2016-12-13","cited_by_count":92},{"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":"2303.10598","title":"StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields","created":"2023-03-19","cited_by_count":79},{"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":"2105.04619","title":"Enhancing Photorealism Enhancement","created":"2021-05-10","cited_by_count":74},{"id":"1604.08610","title":"Artistic style transfer for videos","created":"2016-04-28","cited_by_count":55},{"id":"2003.08436","title":"Collaborative Distillation for Ultra-Resolution Universal Style Transfer","created":"2020-03-18","cited_by_count":52},{"id":"2207.12280","title":"ArtFID: Quantitative Evaluation of Neural Style Transfer","created":"2022-07-25","cited_by_count":49},{"id":"1906.02913","title":"Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer","created":"2019-06-07","cited_by_count":36},{"id":"2005.10777","title":"Manifold Alignment for Semantically Aligned Style Transfer","created":"2020-05-21","cited_by_count":34},{"id":"2007.05146","title":"Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer","created":"2020-07-10","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":"2309.10684","title":"Locally Stylized Neural Radiance Fields","created":"2023-09-19","cited_by_count":20},{"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":"2402.08622","title":"NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs","created":"2024-02-13","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":"2203.09242","title":"Depth-aware Neural Style Transfer using Instance Normalization","created":"2022-03-17","cited_by_count":9},{"id":"2401.17109","title":"Evaluation in Neural Style Transfer: A Review","created":"2024-01-30","cited_by_count":4},{"id":"2403.06205","title":"S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes","created":"2024-03-10","cited_by_count":3},{"id":"2311.14617","title":"Neural Style Transfer for Computer Games","created":"2023-11-24","cited_by_count":2}],"next_cursor":null}