5 papers
Resonant Brane Splatting for Arbitrary-Scale Super-Resolution
Giulio Federico, Giuseppe Amato, Claudio Gennaro +2
Arbitrary-Scale Super-Resolution (ASR) reconstructs images at continuous magnification factors. Recent methods accelerate inference by replacing computationally heavy implicit neur…
Learning to Adaptively Allocate Gaussians for Arbitrary-Scale Image Super-Resolution
Giulio Federico, Giuseppe Amato, Claudio Gennaro +2
In computer graphics, visual content is continuously warped, zoomed and resampled. This occurs when engines upscale frames, users zoom into 3D scenes, or foveated VR applies varyin…
LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving
Giulio Federico, Fabio Carrara, Claudio Gennaro +2
Generating consistent multi-view images from a single image remains challenging. Lack of spatial consistency often degrades 3D mesh quality in surface reconstruction. To address th…
CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro +1
In this paper, we introduce a deep learning solution for video activity recognition that leverages an innovative combination of convolutional layers with a linear-complexity attent…
ViSketch-GPT: Collaborative Multi-Scale Feature Extraction for Sketch Recognition and Generation
Giulio Federico, Giuseppe Amato, Fabio Carrara +2
Understanding the nature of human sketches is challenging because of the wide variation in how they are created. Recognizing complex structural patterns improves both the accuracy…