6 papers · 1 filter
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…
AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent
Neeraj Anand, Rishabh Jain, Sohan Patnaik +2
There is a growing demand for mobile user interface (UI) automation, driven by its broad applications across industries. With the advent of visual language models (VLMs), GUI autom…
Towards Efficient Exemplar Based Image Editing with Multimodal VLMs
Avadhoot Jadhav, Ashutosh Srivastava, Abhinav Java +4
Text-to-Image Diffusion models have enabled a wide array of image editing applications. However, capturing all types of edits through text alone can be challenging and cumbersome.…
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…
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy +1
Visual layouts are essential in graphic design fields such as advertising, posters, and web interfaces. The application of generative models for content-aware layout generation has…
ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models
Ashutosh Srivastava, Tarun Ram Menta, Abhinav Java +4
Modern Text-to-Image (T2I) Diffusion models have revolutionized image editing by enabling the generation of high-quality photorealistic images. While the de facto method for perfor…