Abstract: Generating continuous models from sparse measurements remains a key challenge in remote sensing due to the limited availability and high cost of dense data collection. Traditional ...

Abstract: Cross-modal generation has emerged as a crucial method for addressing the challenge of filling in missing modalities in medical imaging. Existing approaches predominantly utilize ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, ...