4 papers
CoDeFont: One-Shot Font Generation via Multi-Scale Factor-Specific Representation Learning
Rejoy Chakraborty, Prasun Roy, Saumik Bhattacharya +1
One-shot Font Generation (OFG) aims to synthesize a target glyph by transferring the stylistic characteristics of a single reference glyph while preserving the structure of the tar…
DocRevive: A Unified Pipeline for Document Text Restoration
Kunal Purkayastha, Ayan Banerjee, Josep Llados +1
In Document Understanding, the challenge of reconstructing damaged, occluded, or incomplete text remains a critical yet unexplored problem. Subsequent document understanding tasks…
DRG-Font: Dynamic Reference-Guided Few-shot Font Generation via Contrastive Style-Content Disentanglement
Rejoy Chakraborty, Prasun Roy, Saumik Bhattacharya +1
Few-shot Font Generation aims to generate stylistically consistent glyphs from a few reference glyphs. However, capturing complex font styles from a few exemplars remains challengi…
Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications
Shamim Yazdani, Akansha Singh, Nripsuta Saxena +6
In recent years, deep learning based generative models, particularly Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models (DMs), have been…