5 citations · 6 across the 10 of their papers we have counts for
10 papers · 1 filter
ManifoldSplat: Language-Guided Semantic Shape Editing of 3D Gaussian Head Avatars
Antonio Canela, Jordi Sànchez-Riera
High-fidelity 3D head avatars have reached near-photorealistic quality. While recent methods enable text-driven manipulation, they struggle to provide fine-grained localized contro…
ChromaGS: Text-Driven Semantic Editing of 4D Gaussian Avatars
Antonio Canela, Jordi Sànchez-Riera
We present ChromaGS, a method for real-time, language-guided color editing of animatable 3D Gaussian head avatars. Given a trained animatable avatar, users can instantly modify the…
Spotter: Efficient Urban Visual Localization via Geo-Referenced Facade Landmarks in GPS-Degraded Environments
Antoni Valls, Jordi Sanchez-Riera
Accurate visual localization on robotic and wearable platforms remains challenging in dense urban environments. Existing methodologies typically rely on GPS for absolute positionin…
VisionAssist: An Open-Source Smartphone Assistant for AI-Based Visual Accessibility
Ayşe Özlem Çalışkan, Jordi Sanchez-Riera
People with low vision often face challenges in performing everyday tasks that require interpreting visual information. We present \textbf{VisionAssist}, an open-source mobile appl…
Urban Risk-Aware Navigation via VQA-Based Event Maps for People with Low Vision
Antoni Valls, Jordi Sanchez-Riera
Visual impairment affects hundreds of millions of people worldwide, severely limiting their ability to navigate urban environments safely and independently. While wearable assistiv…
BEA-GS: BEyond RAdiance Supervision in 3DGS for Precise Object Extraction
Alessio Mazzucchelli, Maria Naranjo-Almeida, Jorge Bustos-Sanchez +4
Most Gaussian Splatting techniques that provide a 3D semantic representation of the scene do not optimize the underlying 3D geometry, making object-level editing or asset extractio…
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos +5
We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos. Our focus lies in capturing coherent spatial placement between pairs of individu…
InstantAvatar: Efficient 3D Head Reconstruction via Surface Rendering
Antonio Canela, Pol Caselles, Ibrar Malik +5
Recent advances in full-head reconstruction have been obtained by optimizing a neural field through differentiable surface or volume rendering to represent a single scene. While th…
PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People
Jordi Sanchez-Riera, Albert Pumarola, Francesc Moreno-Noguer
We introduce PhysXNet, a learning-based approach to predict the dynamics of deformable clothes given 3D skeleton motion sequences of humans wearing these clothes. The proposed mode…
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera +6
Automatically detecting graspable regions from a single depth image is a key ingredient in cloth manipulation. The large variability of cloth deformations has motivated most of the…