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cs.CV2026
SPARK: Input-Conditioned Sparse Activation Modulation for Frozen DiT-based Super-Resolution
Federico Putamorsi, Leonardo Zini, Marcella Cornia +1
Real-world image super-resolution (SR) increasingly relies on Diffusion Transformer (DiT) backbones, whose internal activations can be dominated by a small number of massive channe…
cs.CV2026
A Scalable Vector Graphics Latent Space
Leonardo Zini, Elia Frigieri, Lorenzo Baraldi
Scalable Vector Graphics are a fundamental medium for resolution-independent visual content, yet the deep learning community lacks a continuous, dense, and invertible latent space…
cs.CV2026
GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution
Fabio D'Oronzio, Federico Putamorsi, Leonardo Zini +2
Despite recent advances, single-image super-resolution (SR) remains challenging, especially in real-world scenarios with complex degradations. Diffusion-based SR methods, particula…