1 citations · 1 across the 2 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026★ 1 cited
Φeat: Physically Grounded Material Feature Representation
Giuseppe Vecchio, Adrien Kaiser, Claudia Cuttano +4
While foundation models have emerged as general-purpose visual backbones, their representations are primarily optimized for semantics and lack explicit modeling of physical factors…
cs.CV2026
StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning
Giuseppe Vecchio
We introduce StableMaterials, a novel approach for generating photorealistic physical-based rendering (PBR) materials that integrate semi-supervised learning with Latent Diffusion…
cs.CV2024
Structured Pattern Expansion with Diffusion Models
Marzia Riso, Giuseppe Vecchio, Fabio Pellacini
Recent advances in diffusion models have significantly improved the synthesis of materials, textures, and 3D shapes. By conditioning these models via text or images, users can guid…