66 citations · 117 across the 7 of their papers we have counts for
8 papers
Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting
Yiming Wang, Lucy Chai, Xuan Luo +5
Recent advances in feed-forward 3D Gaussian Splatting have led to rapid improvements in efficient scene reconstruction from sparse views. However, most existing approaches construc…
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
Manuel Lagunas, Brayan Impata, Victor Martinez +4
Fine-grained classification is a challenging task that involves identifying subtle differences between objects within the same category. This task is particularly challenging in sc…
In-the-wild Material Appearance Editing using Perceptual Attributes
J. Daniel Subias, Manuel Lagunas
Intuitively editing the appearance of materials from a single image is a challenging task given the complexity of the interactions between light and matter, and the ambivalence of…
Single-image Full-body Human Relighting
Manuel Lagunas, Xin Sun, Jimei Yang +5
We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging pre…
The joint role of geometry and illumination on material recognition
Manuel Lagunas, Ana Serrano, Diego Gutierrez +1
Observing and recognizing materials is a fundamental part of our daily life. Under typical viewing conditions, we are capable of effortlessly identifying the objects that surround…
A Similarity Measure for Material Appearance
Manuel Lagunas, Sandra Malpica, Ana Serrano +3
We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments. We first create a database of 9,000 render…
Learning icons appearance similarity
Manuel Lagunas, Elena Garces, Diego Gutierrez
Selecting an optimal set of icons is a crucial step in the pipeline of visual design to structure and navigate through content. However, designing the icons sets is usually a diffi…
Transfer Learning for Illustration Classification
Manuel Lagunas, Elena Garces
The field of image classification has shown an outstanding success thanks to the development of deep learning techniques. Despite the great performance obtained, most of the work h…