{"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/colorization/papers/3","list_of":"/task/colorization","task":"Colorization","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":3,"pages_in_order":4,"rows_per_page":100,"rows":[201,300],"of":367,"counts":{"archive_papers_tagged":367,"with_a_code_link":177,"where_syntology_ran_a_sample":47,"not_listed_spam_title":0,"listed":367,"listed_where_code_ran":47,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":40,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":40,"listed_every_run_a_failure_of_syntologys_instrument":7,"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/colorization","prev":"/task/colorization/papers/2","next":"/task/colorization/papers/4","papers":[{"url":null,"slug":"enhancing-sample-generation-of-diffusion","title":"Enhancing Sample Generation of Diffusion Models using Noise Level Correction","date":"2024-12-07","arxiv_id":"2412.05488","repositories_listed":0,"syntology":null},{"url":null,"slug":"arcsem-artistic-colorization-of-sem-images","title":"ArCSEM: Artistic Colorization of SEM Images via Gaussian Splatting","date":"2024-10-25","arxiv_id":"2410.21310","repositories_listed":0,"syntology":null},{"url":null,"slug":"group-diffusion-transformers-are-unsupervised","title":"Group Diffusion Transformers are Unsupervised Multitask Learners","date":"2024-10-19","arxiv_id":"2410.15027","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-the-impact-of-point-cloud","title":"Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy","date":"2024-10-09","arxiv_id":"2410.06725","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-gaussian-data-augmentation-in","title":"Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga","date":"2024-10-08","arxiv_id":"2410.05935","repositories_listed":0,"syntology":null},{"url":null,"slug":"l-c4-language-based-video-colorization-for","title":"L-C4: Language-Based Video Colorization for Creative and Consistent Color","date":"2024-10-07","arxiv_id":"2410.04972","repositories_listed":0,"syntology":null},{"url":null,"slug":"transforming-color-a-novel-image-colorization","title":"Transforming Color: A Novel Image Colorization Method","date":"2024-10-07","arxiv_id":"2410.04799","repositories_listed":0,"syntology":null},{"url":null,"slug":"lvcd-reference-based-lineart-video","title":"LVCD: Reference-based Lineart Video Colorization with Diffusion Models","date":"2024-09-19","arxiv_id":"2409.12960","repositories_listed":0,"syntology":null},{"url":null,"slug":"controlcol-controllability-in-automatic","title":"ControlCol: Controllability in Automatic Speaker Video Colorization","date":"2024-08-21","arxiv_id":"2408.11711","repositories_listed":0,"syntology":null},{"url":null,"slug":"multicolor-image-colorization-by-learning","title":"MultiColor: Image Colorization by Learning from Multiple Color Spaces","date":"2024-08-08","arxiv_id":"2408.04172","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-global-optimal-visual-in-context","title":"Towards Global Optimal Visual In-Context Learning Prompt Selection","date":"2024-05-24","arxiv_id":"2405.15279","repositories_listed":0,"syntology":null},{"url":null,"slug":"latentcolorization-latent-diffusion-based","title":"LatentColorization: Latent Diffusion-Based Speaker Video Colorization","date":"2024-05-09","arxiv_id":"2405.05707","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-semantic-aware-automatic","title":"Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior","date":"2024-04-25","arxiv_id":"2404.16678","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-controllable-colorization-via","title":"Automatic Controllable Colorization via Imagination","date":"2024-04-08","arxiv_id":"2404.05661","repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-based-video-to-video-synthesis","title":"Translation-based Video-to-Video Synthesis","date":"2024-04-03","arxiv_id":"2404.04283","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-quanta-color-imaging","title":"Generative Quanta Color Imaging","date":"2024-03-28","arxiv_id":"2403.19066","repositories_listed":0,"syntology":null},{"url":null,"slug":"lift3d-zero-shot-lifting-of-any-2d-vision","title":"Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D","date":"2024-03-27","arxiv_id":"2403.18922","repositories_listed":0,"syntology":null},{"url":null,"slug":"ccc-optimized-color-classified-colorization","title":"CCC++: Optimized Color Classified Colorization with Segment Anything Model (SAM) Empowered Object Selective Color Harmonization","date":"2024-03-18","arxiv_id":"2403.11494","repositories_listed":0,"syntology":null},{"url":null,"slug":"ccc-color-classified-colorization","title":"CCC: Color Classified Colorization","date":"2024-03-03","arxiv_id":"2403.01476","repositories_listed":0,"syntology":null},{"url":null,"slug":"colorizing-monochromatic-radiance-fields","title":"Colorizing Monochromatic Radiance Fields","date":"2024-02-19","arxiv_id":"2402.12184","repositories_listed":0,"syntology":null},{"url":null,"slug":"control-color-multimodal-diffusion-based","title":"Control Color: Multimodal Diffusion-based Interactive Image Colorization","date":"2024-02-16","arxiv_id":"2402.10855","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffutoon-high-resolution-editable-toon","title":"Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models","date":"2024-01-29","arxiv_id":"2401.16224","repositories_listed":0,"syntology":null},{"url":null,"slug":"audio-infused-automatic-image-colorization-by","title":"Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics","date":"2024-01-24","arxiv_id":"2401.13270","repositories_listed":0,"syntology":null},{"url":null,"slug":"grayscale-image-colorization-with-gan-and","title":"Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain","date":"2024-01-21","arxiv_id":"2401.11425","repositories_listed":0,"syntology":null},{"url":null,"slug":"color-s-4-l-self-supervised-semi-supervised","title":"Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image Colorization","date":"2024-01-08","arxiv_id":"2401.03753","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-progressive-feature-embedding-for","title":"Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation","date":"2023-12-26","arxiv_id":"2312.16040","repositories_listed":0,"syntology":null},{"url":null,"slug":"spdgan-a-generative-adversarial-network-based","title":"SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization","date":"2023-12-21","arxiv_id":"2312.13506","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusing-colors-image-colorization-with-text","title":"Diffusing Colors: Image Colorization with Text Guided Diffusion","date":"2023-12-07","arxiv_id":"2312.04145","repositories_listed":0,"syntology":null},{"url":null,"slug":"improv-inpainting-based-multimodal-prompting","title":"IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks","date":"2023-12-04","arxiv_id":"2312.01771","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-benchmarking-protocol-for-sar-colorization","title":"A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches","date":"2023-10-12","arxiv_id":"2310.08705","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-ensemble-and-transfer-learning","title":"Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model","date":"2023-09-25","arxiv_id":"2309.14478","repositories_listed":0,"syntology":null},{"url":null,"slug":"corf-colorizing-radiance-fields-using","title":"ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation","date":"2023-09-14","arxiv_id":"2309.07668","repositories_listed":0,"syntology":null},{"url":null,"slug":"histogram-guided-video-colorization-structure","title":"Histogram-guided Video Colorization Structure with Spatial-Temporal Connection","date":"2023-08-09","arxiv_id":"2308.04899","repositories_listed":0,"syntology":null},{"url":"/paper/cooperative-colorization-exploring-latent","slug":"cooperative-colorization-exploring-latent","title":"Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation","date":"2023-08-07","arxiv_id":"2308.03348","repositories_listed":0,"syntology":null},{"url":null,"slug":"brighten-and-colorize-a-decoupled-network-for","title":"Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement","date":"2023-08-06","arxiv_id":"2308.03029","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffcolor-toward-high-fidelity-text-guided","title":"DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models","date":"2023-08-03","arxiv_id":"2308.01655","repositories_listed":0,"syntology":null},{"url":null,"slug":"line-art-colorization-of-fakemon-using","title":"Line Art Colorization of Fakemon using Generative Adversarial Neural Networks","date":"2023-07-11","arxiv_id":"2307.05760","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-colorization-with-pre-trained-text-to","title":"Video Colorization with Pre-trained Text-to-Image Diffusion Models","date":"2023-06-02","arxiv_id":"2306.01732","repositories_listed":0,"syntology":null},{"url":null,"slug":"l-cad-language-based-colorization-with-any","title":"L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors","date":"2023-05-24","arxiv_id":"2305.15217","repositories_listed":0,"syntology":null},{"url":null,"slug":"flowchroma-a-deep-recurrent-neural-network","title":"FlowChroma -- A Deep Recurrent Neural Network for Video Colorization","date":"2023-05-23","arxiv_id":"2305.13704","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-predictive-autoencoders-for","title":"Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning","date":"2023-05-22","arxiv_id":"2305.12959","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmc-multi-modal-colorization-of-images-using","title":"MMC: Multi-Modal Colorization of Images using Textual Descriptions","date":"2023-04-24","arxiv_id":"2304.11993","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-3d-action-representation","title":"Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization","date":"2023-04-18","arxiv_id":"2304.08799","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-diffusion-prior-for-unified-image","title":"Generative Diffusion Prior for Unified Image Restoration and Enhancement","date":"2023-04-03","arxiv_id":"2304.01247","repositories_listed":0,"syntology":null},{"url":null,"slug":"exemplar-based-video-colorization-with-long","title":"Exemplar-based Video Colorization with Long-term Spatiotemporal Dependency","date":"2023-03-27","arxiv_id":"2303.15081","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-deep-digital-staining-for","title":"Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation","date":"2023-03-03","arxiv_id":"2303.02057","repositories_listed":0,"syntology":null},{"url":null,"slug":"textir-a-simple-framework-for-text-based","title":"TextIR: A Simple Framework for Text-based Editable Image Restoration","date":"2023-02-28","arxiv_id":"2302.14736","repositories_listed":0,"syntology":null},{"url":null,"slug":"s4r-self-supervised-semantic-scene","title":"SSR-2D: Semantic 3D Scene Reconstruction from 2D Images","date":"2023-02-07","arxiv_id":"2302.03640","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-inspired-self-supervised-pretraining","title":"Energy-Inspired Self-Supervised Pretraining for Vision Models","date":"2023-02-02","arxiv_id":"2302.01384","repositories_listed":0,"syntology":null},{"url":null,"slug":"l-coins-language-based-colorization-with","title":"L-CoIns: Language-Based Colorization With Instance Awareness","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bi-noising-diffusion-towards-conditional","title":"Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors","date":"2022-12-14","arxiv_id":"2212.07352","repositories_listed":0,"syntology":null},{"url":null,"slug":"bistnet-semantic-image-prior-guided","title":"BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization","date":"2022-12-05","arxiv_id":"2212.02268","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-s-behind-the-mask-estimating-uncertainty","title":"What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems","date":"2022-11-28","arxiv_id":"2211.15211","repositories_listed":0,"syntology":null},{"url":null,"slug":"cronos-colorization-and-contrastive-learning","title":"CRONOS: Colorization and Contrastive Learning for Device-Free NLoS Human Presence Detection using Wi-Fi CSI","date":"2022-11-07","arxiv_id":"2211.10354","repositories_listed":0,"syntology":null},{"url":null,"slug":"guiding-users-to-where-to-give-color-hints","title":"Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization","date":"2022-10-25","arxiv_id":"2210.14270","repositories_listed":0,"syntology":null},{"url":null,"slug":"reference-based-color-transfer-for-medical","title":"Reference Based Color Transfer for Medical Volume Rendering","date":"2022-10-14","arxiv_id":"2210.08083","repositories_listed":0,"syntology":null},{"url":null,"slug":"unicolor-a-unified-framework-for-multi-modal","title":"UniColor: A Unified Framework for Multi-Modal Colorization with Transformer","date":"2022-09-22","arxiv_id":"2209.11223","repositories_listed":0,"syntology":null},{"url":null,"slug":"exemplar-based-image-colorization-with-a","title":"Exemplar-Based Image Colorization with A Learning Framework","date":"2022-09-13","arxiv_id":"2209.05775","repositories_listed":0,"syntology":null},{"url":null,"slug":"paracolorizer-realistic-image-colorization","title":"ParaColorizer: Realistic Image Colorization using Parallel Generative Networks","date":"2022-08-17","arxiv_id":"2208.08295","repositories_listed":0,"syntology":null},{"url":null,"slug":"tic-text-guided-image-colorization","title":"TIC: Text-Guided Image Colorization","date":"2022-08-04","arxiv_id":"2208.02843","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-colorization-using-u-net-with-skip","title":"Image Colorization using U-Net with Skip Connections and Fusion Layer on Landscape Images","date":"2022-05-25","arxiv_id":"2205.12867","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-decades-of-colorization-and","title":"Two Decades of Colorization and Decolorization for Images and Videos","date":"2022-04-28","arxiv_id":"2204.13322","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-different-losses-for-deep","title":"Analysis of Different Losses for Deep Learning Image Colorization","date":"2022-04-06","arxiv_id":"2204.02980","repositories_listed":0,"syntology":null},{"url":null,"slug":"influence-of-color-spaces-for-deep-learning","title":"Influence of Color Spaces for Deep Learning Image Colorization","date":"2022-04-06","arxiv_id":"2204.02850","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-of-representations-to-video-label","title":"Transfer of Representations to Video Label Propagation: Implementation Factors Matter","date":"2022-03-10","arxiv_id":"2203.05553","repositories_listed":0,"syntology":null},{"url":null,"slug":"virtual-histological-staining-of-label-free","title":"Virtual Histological Staining of Label-Free Total Absorption Photoacoustic Remote Sensing (TA-PARS)","date":"2022-03-04","arxiv_id":"2203.02584","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-learning-approach-for-digital","title":"A Deep Learning Approach for Digital Color Reconstruction of Lenticular Films","date":"2022-02-10","arxiv_id":"2202.05270","repositories_listed":0,"syntology":null},{"url":null,"slug":"romnet-renovate-the-old-memories","title":"ROMNet: Renovate the Old Memories","date":"2022-02-05","arxiv_id":"2202.02606","repositories_listed":0,"syntology":null},{"url":null,"slug":"hiding-data-in-colors-secure-and-lossless","title":"Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks","date":"2022-01-19","arxiv_id":"2201.07444","repositories_listed":0,"syntology":null},{"url":null,"slug":"scsnet-an-efficient-paradigm-for-learning","title":"SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution","date":"2022-01-12","arxiv_id":"2201.04364","repositories_listed":0,"syntology":null},{"url":null,"slug":"astronomical-image-colorization-and-upscaling","title":"Astronomical Image Colorization and upscaling with Generative Adversarial Networks","date":"2021-12-27","arxiv_id":"2112.13865","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-anomaly-detection-using-self","title":"Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks","date":"2021-11-24","arxiv_id":"2111.12379","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-learning-generative-model-approach-for","title":"A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves","date":"2021-11-05","arxiv_id":"2111.03388","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-probabilistic-image-colorization","title":"Generative Probabilistic Image Colorization","date":"2021-09-29","arxiv_id":"2109.14518","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-animation-transformer-visual","title":"The Animation Transformer: Visual Correspondence via Segment Matching","date":"2021-09-06","arxiv_id":"2109.02614","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-photorealistic-colorization-by","title":"Towards Photorealistic Colorization by Imagination","date":"2021-08-20","arxiv_id":"2108.09195","repositories_listed":0,"syntology":null},{"url":null,"slug":"guided-colorization-using-mono-color-image","title":"Guided Colorization Using Mono-Color Image Pairs","date":"2021-08-17","arxiv_id":"2108.07471","repositories_listed":0,"syntology":null},{"url":null,"slug":"skeleton-cloud-colorization-for-unsupervised","title":"Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning","date":"2021-08-04","arxiv_id":"2108.01959","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-guided-nir-image-colorization-via","title":"Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues","date":"2021-07-20","arxiv_id":"2107.09237","repositories_listed":0,"syntology":null},{"url":null,"slug":"painting-style-aware-manga-colorization-based","title":"Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks","date":"2021-07-16","arxiv_id":"2107.07943","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-auxiliary-learning-for-visual-1","title":"Deep auxiliary learning for visual localization using colorization task","date":"2021-07-01","arxiv_id":"2107.00222","repositories_listed":0,"syntology":null},{"url":null,"slug":"generation-of-the-nir-spectral-band-for","title":"Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks","date":"2021-06-13","arxiv_id":"2106.07020","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-direct-volume-rendering-learning-visual","title":"Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images","date":"2021-06-09","arxiv_id":"2106.05429","repositories_listed":0,"syntology":null},{"url":null,"slug":"crowd-counting-by-self-supervised-transfer","title":"Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification","date":"2021-05-20","arxiv_id":"2105.09684","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-image-destruction-a-comprehensive-study","title":"Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks","date":"2021-04-30","arxiv_id":"2104.15022","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-throughput-fast-full-color-digital","title":"High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer","date":"2021-01-19","arxiv_id":"2101.08136","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-registration-colorization-technique","title":"A Simple Mutual Information based Registration Method for Thermal-Optical Image Pairs applied on a Novel Dataset","date":"2021-01-18","arxiv_id":"2101.06910","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-colorization-and-denoising-for-low","title":"Contextual colorization and denoising for low-light ultra high resolution sequences","date":"2021-01-05","arxiv_id":"2101.01597","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformers-in-vision-a-survey","title":"Transformers in Vision: A Survey","date":"2021-01-04","arxiv_id":"2101.01169","repositories_listed":0,"syntology":null},{"url":null,"slug":"lapscore-language-guided-person-search-via","title":"LapsCore: Language-Guided Person Search via Color Reasoning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reference-based-video-colorization-with","title":"Reference-Based Video Colorization with Spatiotemporal Correspondence","date":"2020-11-25","arxiv_id":"2011.12528","repositories_listed":0,"syntology":null},{"url":null,"slug":"riemannian-information-gradient-methods-for","title":"Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing","date":"2020-11-05","arxiv_id":"2011.02806","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepremaster-temporal-source-reference","title":"DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement","date":"2020-09-18","arxiv_id":"2009.08692","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-selection-network-for-video","title":"Memory Selection Network for Video Propagation","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transformation-consistency-regularization-a-1","title":"Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pan-sharpening-with-color-aware-perceptual","title":"Pan-Sharpening with Color-Aware Perceptual Loss and Guided Re-Colorization","date":"2020-06-30","arxiv_id":"2006.16583","repositories_listed":0,"syntology":null},{"url":null,"slug":"artist-guided-semiautomatic-animation","title":"Artist-Guided Semiautomatic Animation Colorization","date":"2020-06-22","arxiv_id":"2006.13717","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-density-sketch-to-image-translation","title":"Multi-Density Sketch-to-Image Translation Network","date":"2020-06-18","arxiv_id":"2006.10649","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-restoration-from-parametric","title":"Image Restoration from Parametric Transformations using Generative Models","date":"2020-05-27","arxiv_id":"2005.14036","repositories_listed":0,"syntology":null},{"url":null,"slug":"invertible-grayscale-via-dual-features","title":"Invertible Grayscale via Dual Features Ensemble","date":"2020-05-22","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"d7d8d776368ff0acd62396eea55f53c738bc998e88e1e68c6639279ba6e0e47d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}