7 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…
HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
Nikitha SR, Aradhya Neeraj Mathur, Tarun Ram Menta +2
The integration of high-resolution image features in modern multimodal large language models has demonstrated significant improvements in fine-grained visual understanding tasks, a…
MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification
Phu Pham, Aradhya N. Mathur, Ojaswa Sharma +1
The field of text-to-3D content generation has made significant progress in generating realistic 3D objects, with existing methodologies like Score Distillation Sampling (SDS) offe…
Curvy: A Parametric Cross-section based Surface Reconstruction
Aradhya N. Mathur, Apoorv Khattar, Ojaswa Sharma
In this work, we present a novel approach for reconstructing shape point clouds using planar sparse cross-sections with the help of generative modeling. We present unique challenge…
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation
Aradhya N. Mathur, Phu Pham, Aniket Bera +1
3D generation has rapidly accelerated in the past decade owing to the progress in the field of generative modeling. Score Distillation Sampling (SDS) based rendering has improved 3…
LIFI: Towards Linguistically Informed Frame Interpolation
Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar +2
In this work, we explore a new problem of frame interpolation for speech videos. Such content today forms the major form of online communication. We try to solve this problem by us…
Multimodal Medical Volume Colorization from 2D Style
Aradhya Neeraj Mathur, Apoorv Khattar, Ojaswa Sharma
Colorization involves the synthesis of colors on a target image while preserving structural content as well as the semantics of the target image. This is a well-explored problem in…