8 citations · 12 across the 11 of their papers we have counts for
11 papers
Knowledge Distillation for Visual Autoregressive Models
Elia Peruzzo, Aritra Bhowmik, Guillaume Sautiere +2
Autoregressive (AR) image generation models are highly expressive but computationally intensive, motivating effective model compression. Knowledge distillation (KD) is a natural ap…
Multi-Scale Local Speculative Decoding for Image Generation
Elia Peruzzo, Guillaume Sautière, Amirhossein Habibian
Autoregressive (AR) models have achieved remarkable success in image synthesis, yet their sequential nature imposes significant latency constraints. Speculative Decoding offers a p…
RAGME: Retrieval Augmented Video Generation for Enhanced Motion Realism
Elia Peruzzo, Dejia Xu, Xingqian Xu +2
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 rema…
Safe Vision-Language Models via Unsafe Weights Manipulation
Moreno D'Incà, Elia Peruzzo, Xingqian Xu +3
Vision-language models (VLMs) often inherit the biases and unsafe associations present within their large-scale training dataset. While recent approaches mitigate unsafe behaviors,…
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models
Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini +3
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…
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini +6
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 inves…
VASE: Object-Centric Appearance and Shape Manipulation of Real Videos
Elia Peruzzo, Vidit Goel, Dejia Xu +5
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…
Collaborative Neural Painting
Nicola Dall'Asen, Willi Menapace, Elia Peruzzo +3
The process of painting fosters creativity and rational planning. However, existing generative AI mostly focuses on producing visually pleasant artworks, without emphasizing the pa…
Interactive Neural Painting
Elia Peruzzo, Willi Menapace, Vidit Goel +9
In the last few years, Neural Painting (NP) techniques became capable of producing extremely realistic artworks. This paper advances the state of the art in this emerging research…
PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor
Vidit Goel, Elia Peruzzo, Yifan Jiang +6
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. Neverthel…
Spatial Entropy as an Inductive Bias for Vision Transformers
Elia Peruzzo, Enver Sangineto, Yahui Liu +4
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,…