activity
20232025
most citedTexSliders: Diffusion-Based Texture Editing in CLIP Space

18 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2025

Fine-Grained Spatially Varying Material Selection in Images

Julia Guerrero-Viu, Michael Fischer, Iliyan Georgiev +4

Selection is the first step in many image editing processes, enabling faster and simpler modifications of all pixels sharing a common modality. In this work, we present a method fo…

cs.GR2025★ 1 cited

A Controllable Appearance Representation for Flexible Transfer and Editing

Santiago Jimenez-Navarro, Julia Guerrero-Viu, Belen Masia

We present a method that computes an interpretable representation of material appearance within a highly compact, disentangled latent space. This representation is learned in a sel…

cs.GR2024★ 18 cited

TexSliders: Diffusion-Based Texture Editing in CLIP Space

Julia Guerrero-Viu, Milos Hasan, Arthur Roullier +6

Generative models have enabled intuitive image creation and manipulation using natural language. In particular, diffusion models have recently shown remarkable results for natural…

cs.GR2024

Predicting Perceived Gloss: Do Weak Labels Suffice?

Julia Guerrero-Viu, J. Daniel Subias, Ana Serrano +4

Estimating perceptual attributes of materials directly from images is a challenging task due to their complex, not fully-understood interactions with external factors, such as geom…

cs.GR2023

The Visual Language of Fabrics

Valentin Deschaintre, Julia Guerrero-Viu, Diego Gutierrez +2

We introduce text2fabric, a novel dataset that links free-text descriptions to various fabric materials. The dataset comprises 15,000 natural language descriptions associated to 3,…