Nitish Shukla

Ditch the blurry latent space: MLLMs can guide diffusion models to demorph faces directly in RGB, outperforming latent-space methods by 30-40%.

Multi-image reasoning in Vision-Language Models can be dramatically improved by leveraging a novel preference optimization framework that emphasizes global visual search over localized tasks.