{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/style-transfer/papers/15","list_of":"/task/style-transfer","task":"Style Transfer","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":15,"pages_in_order":17,"rows_per_page":100,"rows":[1401,1500],"of":1661,"counts":{"archive_papers_tagged":1661,"with_a_code_link":759,"where_syntology_ran_a_sample":173,"not_listed_spam_title":0,"listed":1661,"listed_where_code_ran":173,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":143,"every_run_a_failure_of_syntologys_instrument":30,"listed_with_a_run_with_no_instrument_failure":143,"listed_every_run_a_failure_of_syntologys_instrument":30,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/style-transfer","prev":"/task/style-transfer/papers/14","next":"/task/style-transfer/papers/16","papers":[{"url":null,"slug":"histopathological-stain-transfer-using-style","title":"Histopathological Stain Transfer using Style Transfer Network with Adversarial Loss","date":"2020-10-06","arxiv_id":"2010.02659","repositories_listed":0,"syntology":null},{"url":null,"slug":"cycle-consistent-adversarial-autoencoders-for","title":"Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer","date":"2020-10-02","arxiv_id":"2010.00735","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-text-style-transfer-with-padded","title":"Unsupervised Text Style Transfer with Padded Masked Language Models","date":"2020-10-02","arxiv_id":"2010.01054","repositories_listed":0,"syntology":null},{"url":null,"slug":"textsettr-label-free-text-style-extraction","title":"TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"style-invariant-cardiac-image-segmentation","title":"Style-invariant Cardiac Image Segmentation with Test-time Augmentation","date":"2020-09-24","arxiv_id":"2009.12193","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistency-regularization-with-high","title":"Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation","date":"2020-09-18","arxiv_id":"2009.08610","repositories_listed":0,"syntology":null},{"url":null,"slug":"arbitrary-video-style-transfer-via-multi","title":"Arbitrary Video Style Transfer via Multi-Channel Correlation","date":"2020-09-17","arxiv_id":"2009.08003","repositories_listed":0,"syntology":null},{"url":null,"slug":"nprportrait-1-0-a-three-level-benchmark-for","title":"NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits","date":"2020-09-01","arxiv_id":"2009.00633","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-style-transfer-based-domain","title":"Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information","date":"2020-08-27","arxiv_id":"2008.12205","repositories_listed":0,"syntology":null},{"url":null,"slug":"ca-gan-weakly-supervised-color-aware-gan-for","title":"CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer","date":"2020-08-24","arxiv_id":"2008.10298","repositories_listed":0,"syntology":null},{"url":null,"slug":"tweet-to-news-conversion-an-investigation","title":"Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation","date":"2020-08-21","arxiv_id":"2008.09333","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-and-robust-face-to-parameter-translation","title":"Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation","date":"2020-08-17","arxiv_id":"2008.07132","repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-preserving-stain-normalization-of","title":"Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance","date":"2020-08-05","arxiv_id":"2008.02101","repositories_listed":0,"syntology":null},{"url":null,"slug":"rd-gan-few-zero-shot-chinese-character-style","title":"RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-style-transfer-for-remote-sensing","title":"Neural Style Transfer for Remote Sensing","date":"2020-07-31","arxiv_id":"2007.15920","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-game-design-via-creative-machine","title":"Towards Game Design via Creative Machine Learning (GDCML)","date":"2020-07-25","arxiv_id":"2008.13548","repositories_listed":0,"syntology":null},{"url":null,"slug":"filter-style-transfer-between-photos","title":"Filter Style Transfer between Photos","date":"2020-07-15","arxiv_id":"2007.07925","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometric-style-transfer","title":"Geometric Style Transfer","date":"2020-07-10","arxiv_id":"2007.05471","repositories_listed":0,"syntology":null},{"url":null,"slug":"optical-flow-distillation-towards-efficient","title":"Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer","date":"2020-07-10","arxiv_id":"2007.05146","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-assisted-apparel-design","title":"AI Assisted Apparel Design","date":"2020-07-09","arxiv_id":"2007.04950","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-humor-prediction-datasets-be-used-for","title":"Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"naist-s-machine-translation-systems-for-iwslt","title":"NAIST's Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"story-level-text-style-transfer-a-proposal","title":"Story-level Text Style Transfer: A Proposal","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"stylized-text-generation-approaches-and","title":"Stylized Text Generation: Approaches and Applications","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gramgan-deep-3d-texture-synthesis-from-2d","title":"GramGAN: Deep 3D Texture Synthesis From 2D Exemplars","date":"2020-06-29","arxiv_id":"2006.16112","repositories_listed":0,"syntology":null},{"url":null,"slug":"storing-encoded-episodes-as-concepts-for","title":"Storing Encoded Episodes as Concepts for Continual Learning","date":"2020-06-26","arxiv_id":"2007.06637","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-image-sentiment-transfer","title":"Global Image Sentiment Transfer","date":"2020-06-22","arxiv_id":"2006.11989","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-sentiment-transfer","title":"Image Sentiment Transfer","date":"2020-06-19","arxiv_id":"2006.11337","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-universal-style-transfer-on-high","title":"Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning","date":"2020-06-16","arxiv_id":"2006.09029","repositories_listed":0,"syntology":null},{"url":null,"slug":"distribution-aligned-multimodal-and-multi","title":"Distribution Aligned Multimodal and Multi-Domain Image Stylization","date":"2020-06-02","arxiv_id":"2006.01431","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-disentangled-text-representation","title":"Improving Disentangled Text Representation Learning with Information-Theoretic Guidance","date":"2020-06-01","arxiv_id":"2006.00693","repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-domain-learning-with-dynamic-residual","title":"Latent Domain Learning with Dynamic Residual Adapters","date":"2020-06-01","arxiv_id":"2006.00996","repositories_listed":0,"syntology":null},{"url":null,"slug":"thermal-object-detection-using-domain","title":"Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving","date":"2020-06-01","arxiv_id":"2006.00821","repositories_listed":0,"syntology":null},{"url":null,"slug":"time-flies-animating-a-still-image-with-time","title":"Time Flies: Animating a Still Image With Time-Lapse Video As Reference","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-to-singing-conversion-based-on","title":"Speech-to-Singing Conversion based on Boundary Equilibrium GAN","date":"2020-05-28","arxiv_id":"2005.13835","repositories_listed":0,"syntology":null},{"url":null,"slug":"mr2nst-multi-resolution-and-multi-reference","title":"mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography","date":"2020-05-25","arxiv_id":"2005.11926","repositories_listed":0,"syntology":null},{"url":null,"slug":"mvstylizer-an-efficient-edge-assisted-video","title":"MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones","date":"2020-05-24","arxiv_id":"2005.11630","repositories_listed":0,"syntology":null},{"url":null,"slug":"daugnet-unsupervised-multi-source-multi","title":"DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images","date":"2020-05-13","arxiv_id":"2005.06216","repositories_listed":0,"syntology":null},{"url":null,"slug":"making-robots-draw-a-vivid-portrait-in-two","title":"Making Robots Draw A Vivid Portrait In Two Minutes","date":"2020-05-12","arxiv_id":"2005.05526","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforced-rewards-framework-for-text-style","title":"Reinforced Rewards Framework for Text Style Transfer","date":"2020-05-11","arxiv_id":"2005.05256","repositories_listed":0,"syntology":null},{"url":null,"slug":"photo-style-transfer-with-consistency-losses","title":"Photo style transfer with consistency losses","date":"2020-05-09","arxiv_id":"2005.04408","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-generative-adversarial-learning","title":"Federated Generative Adversarial Learning","date":"2020-05-07","arxiv_id":"2005.03793","repositories_listed":0,"syntology":null},{"url":null,"slug":"kunster-ar-art-video-maker-real-time-video","title":"Kunster -- AR Art Video Maker -- Real time video neural style transfer on mobile devices","date":"2020-05-07","arxiv_id":"2005.03415","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-implicit-text-generation-via-feature","title":"Learning Implicit Text Generation via Feature Matching","date":"2020-05-07","arxiv_id":"2005.03588","repositories_listed":0,"syntology":null},{"url":null,"slug":"review-of-text-style-transfer-based-on-deep","title":"Review of Text Style Transfer Based on Deep Learning","date":"2020-05-06","arxiv_id":"2005.02914","repositories_listed":0,"syntology":null},{"url":null,"slug":"expertise-style-transfer-a-new-task-towards","title":"Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen","date":"2020-05-02","arxiv_id":"2005.00701","repositories_listed":0,"syntology":null},{"url":null,"slug":"you-only-train-once-loss-conditional-training","title":"You Only Train Once: Loss-Conditional Training of Deep Networks","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-text-style-transfer-1","title":"Contextual Text Style Transfer","date":"2020-04-30","arxiv_id":"2005.00136","repositories_listed":0,"syntology":null},{"url":null,"slug":"deflating-dataset-bias-using-synthetic-data","title":"Deflating Dataset Bias Using Synthetic Data Augmentation","date":"2020-04-28","arxiv_id":"2004.13866","repositories_listed":0,"syntology":null},{"url":null,"slug":"style-transfer-gans-for-bridging-the-domain","title":"Style-transfer GANs for bridging the domain gap in synthetic pose estimator training","date":"2020-04-28","arxiv_id":"2004.13681","repositories_listed":0,"syntology":null},{"url":null,"slug":"st-2-small-data-text-style-transfer-via-multi","title":"ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning","date":"2020-04-24","arxiv_id":"2004.11742","repositories_listed":0,"syntology":null},{"url":null,"slug":"style-your-face-morph-and-improve-your-face","title":"Style Your Face Morph and Improve Your Face Morphing Attack Detector","date":"2020-04-23","arxiv_id":"2004.11435","repositories_listed":0,"syntology":null},{"url":null,"slug":"discretized-bottleneck-in-vae-posterior","title":"Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck","date":"2020-04-22","arxiv_id":"2004.10603","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-real-time-dnn-inference-on-mobile","title":"Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization","date":"2020-04-22","arxiv_id":"2004.11250","repositories_listed":0,"syntology":null},{"url":null,"slug":"style-transfer-and-paraphrase-looking-for-a","title":"Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric","date":"2020-04-10","arxiv_id":"2004.05001","repositories_listed":0,"syntology":null},{"url":null,"slug":"change-detection-in-heterogeneous-optical-and","title":"Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion","date":"2020-04-08","arxiv_id":"2004.03830","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-rap-lyrics-generation-with","title":"Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders","date":"2020-04-08","arxiv_id":"2004.03965","repositories_listed":0,"syntology":null},{"url":"/paper/sentiinc-incorporating-sentiment-information","slug":"sentiinc-incorporating-sentiment-information","title":"SentiInc: Incorporating Sentiment Information into Sentiment Transfer Without Parallel Data","date":"2020-04-08","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fingerprint-presentation-attack-detection-a","title":"Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach","date":"2020-04-06","arxiv_id":"2004.02941","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-convolutional-neural-network-for","title":"End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images","date":"2020-04-02","arxiv_id":"2004.00871","repositories_listed":0,"syntology":null},{"url":null,"slug":"fashion-meets-computer-vision-a-survey","title":"Fashion Meets Computer Vision: A Survey","date":"2020-03-31","arxiv_id":"2003.13988","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-autonomous-systems-meet-accuracy-and","title":"When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey","date":"2020-03-29","arxiv_id":"2003.12948","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiform-fonts-to-fonts-translation-via","title":"Multiform Fonts-to-Fonts Translation via Style and Content Disentangled Representations of Chinese Character","date":"2020-03-28","arxiv_id":"2004.03338","repositories_listed":0,"syntology":null},{"url":null,"slug":"fake-generated-painting-detection-via","title":"Fake Generated Painting Detection via Frequency Analysis","date":"2020-03-05","arxiv_id":"2003.02467","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-embroidery-patterns-using-image-to","title":"Generating Embroidery Patterns Using Image-to-Image Translation","date":"2020-03-05","arxiv_id":"2003.02909","repositories_listed":0,"syntology":null},{"url":null,"slug":"unity-style-transfer-for-person-re","title":"Unity Style Transfer for Person Re-Identification","date":"2020-03-04","arxiv_id":"2003.02068","repositories_listed":0,"syntology":null},{"url":null,"slug":"gpu-accelerated-mobile-multi-view-style","title":"GPU-Accelerated Mobile Multi-view Style Transfer","date":"2020-03-02","arxiv_id":"2003.00706","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-attribute-guided-painting-generation","title":"Multi-Attribute Guided Painting Generation","date":"2020-02-26","arxiv_id":"2002.11261","repositories_listed":0,"syntology":null},{"url":null,"slug":"style-transfer-for-light-field-photography","title":"Style Transfer for Light Field Photography","date":"2020-02-25","arxiv_id":"2002.11220","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-semantic-attribute-discovery-and","title":"Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection","date":"2020-02-25","arxiv_id":"2002.11169","repositories_listed":0,"syntology":null},{"url":null,"slug":"4d-semantic-cardiac-magnetic-resonance-image","title":"4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model","date":"2020-02-17","arxiv_id":"2002.07089","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-arbitrary-style-transfer-for-portrait","title":"Neural arbitrary style transfer for portrait images using the attention mechanism","date":"2020-02-17","arxiv_id":"2002.07643","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-generate-multiple-style-transfer","title":"Learning to Generate Multiple Style Transfer Outputs for an Input Sentence","date":"2020-02-16","arxiv_id":"2002.06525","repositories_listed":0,"syntology":null},{"url":null,"slug":"remove-appearance-shift-for-ultrasound-image","title":"Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer","date":"2020-02-14","arxiv_id":"2002.05844","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-style-difference-transfer-and-its","title":"Neural Style Difference Transfer and Its Application to Font Generation","date":"2020-01-21","arxiv_id":"2001.07321","repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-transfer-of-multiple-style-attributes-in","title":"Fair Transfer of Multiple Style Attributes in Text","date":"2020-01-18","arxiv_id":"2001.06693","repositories_listed":0,"syntology":null},{"url":null,"slug":"imaginenet-restyling-apps-using-neural-style","title":"ImagineNet: Restyling Apps Using Neural Style Transfer","date":"2020-01-14","arxiv_id":"2001.04932","repositories_listed":0,"syntology":null},{"url":null,"slug":"separating-content-from-style-using","title":"Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild","date":"2020-01-13","arxiv_id":"2001.04189","repositories_listed":0,"syntology":null},{"url":null,"slug":"network-of-steel-neural-font-style-transfer","title":"Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos","date":"2020-01-10","arxiv_id":"2001.03659","repositories_listed":0,"syntology":null},{"url":null,"slug":"mw-gan-multi-warping-gan-for-caricature","title":"MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration","date":"2020-01-07","arxiv_id":"2001.01870","repositories_listed":0,"syntology":null},{"url":null,"slug":"deceiving-image-to-image-translation-networks","title":"Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations","date":"2020-01-06","arxiv_id":"2001.01506","repositories_listed":0,"syntology":null},{"url":null,"slug":"cascade-style-transfer","title":"Cascade Style Transfer","date":"2020-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"one-shot-imitation-filming-of-human-motion","title":"One-Shot Imitation Filming of Human Motion Videos","date":"2019-12-23","arxiv_id":"1912.10609","repositories_listed":0,"syntology":null},{"url":null,"slug":"dependable-neural-networks-for-safety","title":"Dependable Neural Networks for Safety Critical Tasks","date":"2019-12-20","arxiv_id":"1912.09902","repositories_listed":0,"syntology":null},{"url":null,"slug":"c-flow-conditional-generative-flow-models-for","title":"C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds","date":"2019-12-15","arxiv_id":"1912.07009","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-method-for-arbitrary-instance-style","title":"A Method for Arbitrary Instance Style Transfer","date":"2019-12-13","arxiv_id":"1912.06347","repositories_listed":0,"syntology":null},{"url":null,"slug":"hypercon-image-to-video-model-transfer-for","title":"HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks","date":"2019-12-10","arxiv_id":"1912.04950","repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-material-translator-towards-spoof","title":"Universal Material Translator: Towards Spoof Fingerprint Generalization","date":"2019-12-08","arxiv_id":"1912.03737","repositories_listed":0,"syntology":null},{"url":null,"slug":"fingerprint-spoof-generalization","title":"Fingerprint Spoof Generalization","date":"2019-12-05","arxiv_id":"1912.02710","repositories_listed":0,"syntology":null},{"url":null,"slug":"ultrafast-photorealistic-style-transfer-via","title":"Ultrafast Photorealistic Style Transfer via Neural Architecture Search","date":"2019-12-05","arxiv_id":"1912.02398","repositories_listed":0,"syntology":null},{"url":null,"slug":"maximum-entropy-methods-for-texture-synthesis","title":"Maximum entropy methods for texture synthesis: theory and practice","date":"2019-12-03","arxiv_id":"1912.01691","repositories_listed":0,"syntology":null},{"url":null,"slug":"transflow-learning-repurposing-flow-models","title":"Transflow Learning: Repurposing Flow Models Without Retraining","date":"2019-11-29","arxiv_id":"1911.13270","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-neural-sensor-models-for","title":"Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation","date":"2019-11-24","arxiv_id":"1911.10575","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stream-fcns-to-balance-content-and-style","title":"Two-Stream FCNs to Balance Content and Style for Style Transfer","date":"2019-11-19","arxiv_id":"1911.08079","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-instance-normalization-for-arbitrary","title":"Dynamic Instance Normalization for Arbitrary Style Transfer","date":"2019-11-16","arxiv_id":"1911.06953","repositories_listed":0,"syntology":null},{"url":null,"slug":"sensory-optimization-neural-networks-as-a","title":"Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art","date":"2019-11-16","arxiv_id":"1911.07068","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-style-transfer-in-real-time","title":"Multiple Style-Transfer in Real-Time","date":"2019-11-15","arxiv_id":"1911.06464","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-fine-grained-style-transfer","title":"Zero-Shot Fine-Grained Style Transfer: Leveraging Distributed Continuous Style Representations to Transfer To Unseen Styles","date":"2019-11-10","arxiv_id":"1911.03914","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-modular-architecture-for-unsupervised","title":"A Modular Architecture for Unsupervised Sarcasm Generation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"formality-style-transfer-for-noisy-user","title":"Formality Style Transfer for Noisy, User-generated Conversations: Extracting Labeled, Parallel Data from Unlabeled Corpora","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"85664abc0c889963b40cc8b7a8addb21e152b8dc5b4ebb2ee0ac6f5c44259881","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}