50 citations · 54 across the 13 of their papers we have counts for
14 papers · 1 filter
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…
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…
Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +2
Human affordance learning investigates contextually relevant novel pose prediction such that the estimated pose represents a valid human action within the scene. While the task is…
FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework
Alloy Das, Sanket Biswas, Prasun Roy +5
Scene Text Editing (STE) is a challenging research problem, that primarily aims towards modifying existing texts in an image while preserving the background and the font style of t…
MMC: Multi-Modal Colorization of Images using Textual Descriptions
Subhankar Ghosh, Saumik Bhattacharya, Prasun Roy +2
Handling various objects with different colors is a significant challenge for image colorization techniques. Thus, for complex real-world scenes, the existing image colorization al…
A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing
Prasun Roy, Subhankar Ghosh, Umapada Pal
Air-writing refers to virtually writing linguistic characters through hand gestures in three-dimensional space with six degrees of freedom. This paper proposes a generic video came…
Semantically Consistent Person Image Generation
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +2
We propose a data-driven approach for context-aware person image generation. Specifically, we attempt to generate a person image such that the synthesized instance can blend into a…
TIC: Text-Guided Image Colorization
Subhankar Ghosh, Prasun Roy, Saumik Bhattacharya +2
Image colorization is a well-known problem in computer vision. However, due to the ill-posed nature of the task, image colorization is inherently challenging. Though several attemp…
TIPS: Text-Induced Pose Synthesis
Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2
In computer vision, human pose synthesis and transfer deal with probabilistic image generation of a person in a previously unseen pose from an already available observation of that…
Scene Aware Person Image Generation through Global Contextual Conditioning
Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2
Person image generation is an intriguing yet challenging problem. However, this task becomes even more difficult under constrained situations. In this work, we propose a novel pipe…
Multi-scale Attention Guided Pose Transfer
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +1
Pose transfer refers to the probabilistic image generation of a person with a previously unseen novel pose from another image of that person having a different pose. Due to potenti…
Position and Rotation Invariant Sign Language Recognition from 3D Kinect Data with Recurrent Neural Networks
Prasun Roy, Saumik Bhattacharya, Partha Pratim Roy +1
Sign language is a gesture-based symbolic communication medium among speech and hearing impaired people. It also serves as a communication bridge between non-impaired and impaired…
STEFANN: Scene Text Editor using Font Adaptive Neural Network
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +1
Textual information in a captured scene plays an important role in scene interpretation and decision making. Though there exist methods that can successfully detect and interpret c…
Effects of Degradations on Deep Neural Network Architectures
Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +1
Deep convolutional neural networks (CNN) have massively influenced recent advances in large-scale image classification. More recently, a dynamic routing algorithm with capsules (gr…