45 citations · 59 across the 11 of their papers we have counts for
11 papers
Albedo Estimation via Latent Bridge Matching
Carme Corbi, David Serrano-Lozano, Javier Vazquez-Corral +1
Recent advances in Intrinsic Image Decomposition (IID) have increasingly relied on generative models. However, progress remains limited by three key challenges: (a) insufficient ph…
Color encoding in Latent Space of Stable Diffusion Models
Guillem Arias, Ariadna Solà, Martí Armengod +1
Recent advances in diffusion-based generative models have achieved remarkable visual fidelity, yet a detailed understanding of how specific perceptual attributes - such as color an…
Color in Visual-Language Models: CLIP deficiencies
Guillem Arias, Ramon Baldrich, Maria Vanrell
This work explores how color is encoded in CLIP (Contrastive Language-Image Pre-training) which is currently the most influential VML (Visual Language model) in Artificial Intellig…
MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields
Yixiong Yang, Shilin Hu, Haoyu Wu +3
Current methods for extracting intrinsic image components, such as reflectance and shading, primarily rely on statistical priors. These methods focus mainly on simple synthetic sce…
Relighting from a Single Image: Datasets and Deep Intrinsic-based Architecture
Yixiong Yang, Hassan Ahmed Sial, Ramon Baldrich +1
Single image scene relighting aims to generate a realistic new version of an input image so that it appears to be illuminated by a new target light condition. Although existing wor…
Learning Relighting and Intrinsic Decomposition in Neural Radiance Fields
Yixiong Yang, Shilin Hu, Haoyu Wu +3
The task of extracting intrinsic components, such as reflectance and shading, from neural radiance fields is of growing interest. However, current methods largely focus on syntheti…