Denoising Diffusion Probabilistic Models (DDPMs) have recently achieved
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Large-scale text-to-image diffusion models have significantly improved t...
Foundation models are first pre-trained on vast unsupervised datasets an...
Vegetation structure mapping is critical for understanding the global ca...
Generative image modeling enables a wide range of applications but raise...
Image generation has recently seen tremendous advances, with diffusion m...
Vision and Language Pretraining has become the prevalent approach for
ta...
Cross-modal image-recipe retrieval has gained significant attention in r...
Deep generative models, like GANs, have considerably improved the state ...
State-of-the-art vision and vision-and-language models rely on large-sca...
Latent text representations exhibit geometric regularities, such as the
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Deep network architectures struggle to continually learn new tasks witho...