3 citations · 3 across the 3 of their papers we have counts for
5 papers · 1 filter
OrienText: Surface Oriented Textual Image Generation
Shubham Singh Paliwal, Arushi Jain, Monika Sharma +2
Textual content in images is crucial in e-commerce sectors, particularly in marketing campaigns, product imaging, advertising, and the entertainment industry. Current text-to-image…
Multi-Subject Personalization
Arushi Jain, Shubham Paliwal, Monika Sharma +2
Creative story illustration requires a consistent interplay of multiple characters or objects. However, conventional text-to-image models face significant challenges while producin…
CustomText: Customized Textual Image Generation using Diffusion Models
Shubham Paliwal, Arushi Jain, Monika Sharma +2
Textual image generation spans diverse fields like advertising, education, product packaging, social media, information visualization, and branding. Despite recent strides in langu…
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words
Arushi Jain, Shubham Paliwal, Monika Sharma +1
Existing methods for Table Structure Recognition (TSR) from camera-captured or scanned documents perform poorly on complex tables consisting of nested rows / columns, multi-line te…
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
Shubham Paliwal, Vishwanath D, Rohit Rahul +2
With the widespread use of mobile phones and scanners to photograph and upload documents, the need for extracting the information trapped in unstructured document images such as re…