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 ...

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, ...

Abstract: Generative steganography has recently attracted considerable attention due to its superior security properties. However, most existing approaches suffer from limited hiding capacity. To ...

This video covers two breakthroughs that push “mind reading” from fiction into early reality: UT Austin decoding language from brain activity, and Meta decoding visual perception from brain waves. At ...

This is a PyTorch/GPU re-implementation of the paper MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis (to appear in CVPR 2023): @article{li2022mage, title={MAGE: ...