Aparna Bharati — accepted AI-conference papers

2026

Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation

Mayank Vatsa, Aparna Bharati, Richa Singh

AAAI 2026technical

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 across three core primitives—negation, counting, and spatial relations. Our analysis reveals a dramatic performance col

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2023

IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract)

Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh, Mayank Vatsa

AAAI 2023technical

Recent advancements in Generative Adversarial Networks (GANs) have made it possible to obtain high-quality face images of synthetic identities. These networks see large amounts of real faces in order to learn to generate realistic looking synthetic images. However, the concept of a synthetic identit…

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