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Font Generation

Papers

Showing 125 of 52 papers

TitleStatusHype
MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font GenerationCode1
Skeleton and Font Generation Network for Zero-shot Chinese Character Generation0
Font-Agent: Enhancing Font Understanding with Large Language Models0
One-Shot Multilingual Font Generation Via ViT0
GRIF-DM: Generation of Rich Impression Fonts using Diffusion ModelsCode0
Efficient and Scalable Chinese Vector Font Generation via Component Composition0
Design and Development of a Framework For Stroke-Based Handwritten Gujarati Font Generation0
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion ModelsCode1
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive LearningCode2
DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative ModelsCode1
VecFusion: Vector Font Generation with Diffusion0
Local Style Awareness of Font Images0
Few shot font generation via transferring similarity guided global style and quantization local styleCode1
VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and QuantizationCode1
CF-Font: Content Fusion for Few-shot Font GenerationCode1
Few-shot Font Generation by Learning Style Difference and Similarity0
Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts0
Neural Transformation Fields for Arbitrary-Styled Font GenerationCode1
DGFont++: Robust Deformable Generative Networks for Unsupervised Font GenerationCode2
Diff-Font: Diffusion Model for Robust One-Shot Font GenerationCode1
GAS-NeXt: Few-Shot Cross-Lingual Font GeneratorCode1
SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation0
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding0
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and BenchmarksCode1
FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers0
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