Elia Peruzzo
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View article: RAGME: Retrieval Augmented Video Generation for Enhanced Motion Realism
RAGME: Retrieval Augmented Video Generation for Enhanced Motion Realism Open
Video generation is experiencing rapid growth, driven by advances in diffusion models and the development of better and larger datasets. However, producing high-quality videos remains challenging due to the high-dimensional data and the co…
View article: GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models Open
Recent progress in Text-to-Image (T2I) generative models has enabled high-quality image generation. As performance and accessibility increase, these models are gaining significant attraction and popularity: ensuring their fairness and safe…
View article: GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models Open
Recent progress in Text-to-Image (T2I) generative models has enabled high-quality image generation. As performance and accessibility increase, these models are gaining significant attraction and popularity: ensuring their fairness and safe…
View article: PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor Open
Generative image editing has recently witnessed extremely fast-paced growth. Some works use high-level conditioning such as text while others use low-level conditioning. Nevertheless most of them lack fine-grained control over the properti…
View article: OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models Open
Text-to-image generative models are becoming increasingly popular and accessible to the general public. As these models see large-scale deployments, it is necessary to deeply investigate their safety and fairness to not disseminate and per…
View article: VASE: Object-Centric Appearance and Shape Manipulation of Real Videos
VASE: Object-Centric Appearance and Shape Manipulation of Real Videos Open
Recently, several works tackled the video editing task fostered by the success of large-scale text-to-image generative models. However, most of these methods holistically edit the frame using the text, exploiting the prior given by foundat…
View article: Collaborative Neural Painting
Collaborative Neural Painting Open
The process of painting fosters creativity and rational planning. However, existing generative AI mostly focuses on producing visually pleasant artworks, without emphasizing the painting process. We introduce a novel task, Collaborative Ne…
View article: PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor
PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor Open
Generative image editing has recently witnessed extremely fast-paced growth. Some works use high-level conditioning such as text, while others use low-level conditioning. Nevertheless, most of them lack fine-grained control over the proper…
View article: Artificial Intelligence You Can Trust: What Matters Beyond Performance When Applying Artificial Intelligence to Renal Histopathology?
Artificial Intelligence You Can Trust: What Matters Beyond Performance When Applying Artificial Intelligence to Renal Histopathology? Open
Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anticipated to become an integral aspect of renal histopathology. As these systems are developed, the focus will understandably be on developin…
View article: Spatial Entropy as an Inductive Bias for Vision Transformers
Spatial Entropy as an Inductive Bias for Vision Transformers Open
Recent work on Vision Transformers (VTs) showed that introducing a local inductive bias in the VT architecture helps reducing the number of samples necessary for training. However, the architecture modifications lead to a loss of generalit…