1 citations · 2 across the 9 of their papers we have counts for
10 papers
DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation
Varun Gopal, Rishabh Jain, Aradhya Mathur +6
Graphic layouts serve as an important and engaging medium for visual communication across different channels. While recent layout generation models have demonstrated impressive cap…
EOPose : Exemplar-based object reposing using Generalized Pose Correspondences
Sarthak Mehrotra, Rishabh Jain, Mayur Hemani +2
Reposing objects in images has a myriad of applications, especially for e-commerce where several variants of product images need to be produced quickly. In this work, we leverage t…
FODVid: Flow-guided Object Discovery in Videos
Silky Singh, Shripad Deshmukh, Mausoom Sarkar +3
Segmentation of objects in a video is challenging due to the nuances such as motion blurring, parallax, occlusions, changes in illumination, etc. Instead of addressing these nuance…
Parameter Efficient Local Implicit Image Function Network for Face Segmentation
Mausoom Sarkar, Nikitha SR, Mayur Hemani +2
Face parsing is defined as the per-pixel labeling of images containing human faces. The labels are defined to identify key facial regions like eyes, lips, nose, hair, etc. In this…
DeAR: Debiasing Vision-Language Models with Additive Residuals
Ashish Seth, Mayur Hemani, Chirag Agarwal
Large pre-trained vision-language models (VLMs) reduce the time for developing predictive models for various vision-grounded language downstream tasks by providing rich, adaptable…
UMFuse: Unified Multi View Fusion for Human Editing applications
Rishabh Jain, Mayur Hemani, Duygu Ceylan +4
Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. However, most of these methods still use an ima…
VGFlow: Visibility guided Flow Network for Human Reposing
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani +4
The task of human reposing involves generating a realistic image of a person standing in an arbitrary conceivable pose. There are multiple difficulties in generating perceptually a…
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
Ayush Chopra, Rishabh Jain, Mayur Hemani +1
Image-based virtual try-on involves synthesizing perceptually convincing images of a model wearing a particular garment and has garnered significant research interest due to its im…
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Siddhartha Gairola, Mayur Hemani, Ayush Chopra +1
Few-shot segmentation (FSS) methods perform image segmentation for a particular object class in a target (query) image, using a small set of (support) image-mask pairs. Recent deep…
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On
Surgan Jandial, Ayush Chopra, Kumar Ayush +3
Image-based virtual try-on for fashion has gained considerable attention recently. The task requires trying on a clothing item on a target model image. An efficient framework for t…