Leonardo Tanzi is currently a Ph.D. Student at the Polytechnic University of Turin, Italy. His current research focuses on human-machine methodologies for smart support during complex interventions in the medical domain, using Deep Learning and Augmented Reality for 3D assistance.
In recent years, the possible applications of text-to-image models have increased enormously. However, image editing to human-written instruction is one subfield that still has...
Large text-to-image diffusion models have been an innovative tool for creating and editing content because they make it possible to synthesize a variety of...
In recent years (or even months), we have seen tremendous growth in generative model research. In particular, text-to-image models such as DALL-E2, Imagen, or...
Especially in the last few years, real-world photo editing with non-trivial semantic adjustments has been a fascinating challenge in image processing. In particular, being...
Since their introduction in the ImageNet competition with AlexNet, Convolutional Neural Networks (CNNs) have always been the most used architecture in vision. However, in...
In recent years, the generation of images or videos from different types of inputs (text, visual, or multimodal) has gained increased popularity. In this...
Among the many applications of Deep Learning in healthcare, segmentation is undoubtedly one of the most studied, given the broad range of possible advantages...
In recent years, the extension of transformers in the computer vision field has slowly made vision transformers (ViT) the state-of-the-art model for many topics,...
In recent years, image synthesis has experienced exponential growth in performance. The two main approaches to this task have been autoregressive transformers (ARs) and...
Since the advent of computer vision, one of the fundamental questions of the research community has always been how to represent the incredible richness...
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