NoHint |
Automatic Sketch Colorization with Tandem Conditional Adversarial Networks |
ISCID2018 |
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Do You Like Sclera? Sclera-region Detection and Colorization for Anime Character Line Drawings |
IJNDC2019 |
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Colorization for Anime Sketches with Cycle-Consistent Adversarial Network |
IJPE2019 |
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Seg2pix: Few Shot Training Line Art Colorization with Segmented Image Data |
Appl. Sci. 2021 |
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Semi-automatic Manga Colorization Using Conditional Adversarial Networks |
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Github |
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Stylized-Colorization for Line Arts |
ICPR2021 |
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Generative Probabilistic Image Colorization |
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FlatMagic: Improving Flat Colorization through AI-driven Design for Digital Comic Professionals |
CHI2022 |
Github |
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Attention-Based Unsupervised Sketch Colorization of Anime Avatar |
ICCIR2022 |
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Atari |
Manga Colorization |
ACM Trans. Graph. 2006 |
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TexToons: Practical Texture Mapping for Hand-drawn Cartoon Animations |
NPAR2011 |
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Outline Colorization through Tandem Adversarial Networks |
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A Fast and Efficient Semi-guided Algorithm for Flat Coloring Line-arts |
EG2018 |
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Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Wasserstein Generative Adversarial Networks |
Neurocomputing2018 |
Github |
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User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks |
ACMMC2018 |
Github |
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Two-stage Sketch Colorization |
ACM Trans. Graph. 2018 |
Github |
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Anime Sketch Coloring with Swish-gated Residual U-net and Spectrally Normalized GAN |
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Github |
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PaintsTorch: a User-Guided Anime Line Art Colorization Tool with Double Generator Conditional Adversarial Network |
CVMP2019 |
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Interactive Anime Sketch Colorization with Style Consistency via a Deep Residual Neural Network |
TAAI2019 |
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Semi-Auto Sketch Colorization Based on Conditional Generative Adversarial Networks |
CISP-BMEI2019 |
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MANGAN: ASSISTING COLORIZATION OF MANGA CHARACTERS CONCEPT ART USING CONDITIONAL GAN |
ICIP2019 |
Github |
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Two-Stage Sketch Colorization With Color Parsing |
IEEE Access2019 |
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User Guided Digital Artwork Colorization |
CSAI2019 |
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Cartoon image colorization based on emotion recognition and superpixel color resolution |
ICCST2020 |
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Automatic Colorization of Anime Style Illustrations Using a Two-Stage Generator |
Appl. Sci. 2020 |
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Line Art Colorization with Concatenated Spatial Attention |
CVPRW2021 |
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User-Guided Line Art Flat Filling with Split Filling Mechanism |
CVPR2021 |
HP |
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Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects |
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Dual Color Space Guided Sketch Colorization |
IEEE Trans. on Img. Proc. 2021 |
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Interactive Manga Colorization with Fast Flat Coloring |
SIGGRAPH Asia2021 |
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Late-resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-art Colorization |
WACV2022 |
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StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization |
IVCNZ2022 |
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Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization |
WACV2023 |
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Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models |
CVPRW2023 |
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Reference |
Unsupervised Colorization of Black-and-White Cartoons |
NPAR2004 |
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Reference-based Manga Colorization by Graph Correspondence Using Quadratic Programming |
SIGGRAPH2014 |
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Deep Manga Colorization with Color Style Extraction by Conditional Adversarially Learned Inference |
IIAI2017 |
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Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN |
ACPR2017 |
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cGAN-based Manga Colorization Using a Single Training Image |
ICDAR2017 |
Github |
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Comicolorization: Semi-Automatic Manga Colorization |
SIGGRAPH2017 |
Github |
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Automatic manga colorization with color style by generative adversarial nets |
2017 18th IEEE/ACIS SNPD |
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Attentioned Deep Paint |
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Github |
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Fully Automatic Colorization for Anime Character Considering Accurate Eye Colors |
SIGGRAPH2019 |
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Semantic Example Guided Image-to-Image Translation |
IEEE Transactions on Multimedia2020 |
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Graph Matching based Anime Colorization with Multiple References |
SIGGRAPH2019 |
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Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence |
CVPR2020 |
Github |
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Multi-Density Sketch-to-Image Translation Network |
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Deep-Eyes: Fully Automatic Anime Character Colorization with Painting of Details on Empty Pupils |
EG2020 |
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Colorization of Line Drawings with Empty Pupils |
PG2020 |
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Anime Sketch Colorization by Component-based Matching using Deep Appearance Features and Graph Representation |
ICPR2021 |
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Anime Style Transfer With Spatially-Adaptive Normalization |
ICME2021 |
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Exploring Sketch-based Character Design Guided by Automatic Colorization |
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PAINTING STYLE-AWARE MANGA COLORIZATION BASED ON GENERATIVE ADVERSARIAL NETWORKS |
ICIP2021 |
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Disentangled and controllable sketch creation based ondisentangling the structure and color enhancement |
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Reference-guided structure-aware deep sketch colorization for cartoons |
CVM2022 |
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Anime Character Colorization using Few-shot Learning |
SIGGRAPH Asia2021 |
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Exemplar-Based Sketch Colorization with Cross-Domain Dense Semantic Correspondence |
Mathematics2022 |
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Eliminating Gradient Conflict in Reference-based Line-Art Colorization |
ECCV2022 |
Github |
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Improving Reference-Based Image Colorization For Line Arts Via Feature Aggregation And Contrastive Learning |
ICASSP2022 |
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Semi-Automatic Colorization Pipeline for Anime Characters and its Evaluation in Production |
NicoInt2022 |
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ATTENTION-AWARE ANIME LINE DRAWING COLORIZATION |
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AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models |
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Two-Step Training: Adjustable Sketch Colourization via Reference Image and Text Tag |
CG Forum2023 |
Github |
Tag |
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss |
ICCV2019 |
Github |
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Line Art Colorization Based on Explicit Region Segmentation |
PG 2021 |
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Video |
Automatic Temporally Coherent Video Colorization |
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Github |
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Artist-Guided Semiautomatic Animation Colorization |
ICCVW2019 |
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Deep Line Art Video Colorization with a Few References |
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Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization |
WACV2021 |
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The Animation Transformer: Visual Correspondence via Segment Matching |
ICCV2021 |
Video |
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Coloring anime line art videos with transformation region enhancement network |
PR2023 |
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