3 citations · 12 across the 14 of their papers we have counts for
4 papers · 1 filter
Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
Mayank Vatsa, Aparna Bharati, Richa Singh
The architectural blueprint of today's leading text-to-image models contains a fundamental flaw: an inability to handle logical composition. This survey investigates this breakdown…
StyleProtect: Safeguarding Artistic Identity in Fine-tuned Diffusion Models
Qiuyu Tang, Joshua Krinsky, Aparna Bharati
The rapid advancement of generative models, particularly diffusion-based approaches, has inadvertently facilitated their potential for misuse. Such models enable malicious exploite…
Is Perturbation-Based Image Protection Disruptive to Image Editing?
Qiuyu Tang, Bonor Ayambem, Mooi Choo Chuah +1
The remarkable image generation capabilities of state-of-the-art diffusion models, such as Stable Diffusion, can also be misused to spread misinformation and plagiarize copyrighted…
From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models
Mayank Vatsa, Aparna Bharati, Surbhi Mittal +1
Negation, a linguistic construct conveying absence, denial, or contradiction, poses significant challenges for multilingual multimodal foundation models. These models excel in task…