2.2k citations
- Massachusetts Institute of TechnologyUS303 papers
- Harvard UniversityUS23 papers
- MIT Lincoln LaboratoryUS17 papers
- IIT@MITUS16 papers
- Stanford UniversityUS16 papers
- Intel (United States)US13 papers
- Microsoft (United States)US12 papers
- University of California, BerkeleyUS12 papers
- University of WashingtonUS12 papers
- Carnegie Mellon UniversityUS11 papers
- Google (United States)US11 papers
- Massachusetts General HospitalUS11 papers
50 papers · 1 filter
An evaluation of SVBRDF Prediction from Generative Image Models for Appearance Modeling of 3D Scenes
Alban Gauthier, Valentin Deschaintre, Alexandre Lanvin +3
Digital content creation is experiencing a profound change with the advent of deep generative models. For texturing, conditional image generators now allow the synthesis of realist…
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Linjie Lyu, Ayush Tewari, Marc Habermann +4
Radiance fields are powerful and, hence, popular models for representing the appearance of complex scenes. Yet, constructing them based on image observations gives rise to ambiguit…
Approaching human 3D shape perception with neurally mappable models
Thomas P. O'Connell, Tyler Bonnen, Yoni Friedman +4
Humans effortlessly infer the 3D shape of objects. What computations underlie this ability? Although various computational models have been proposed, none of them capture the human…
Using Multiple Instance Learning to Build Multimodal Representations
Peiqi Wang, William M. Wells, Seth Berkowitz +2
Image-text multimodal representation learning aligns data across modalities and enables important medical applications, e.g., image classification, visual grounding, and cross-moda…
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
Yangtao Wang, Xi Shen, Shell Hu +3
Transformers trained with self-supervised learning using self-distillation loss (DINO) have been shown to produce attention maps that highlight salient foreground objects. In this…
Updating Street Maps using Changes Detected in Satellite Imagery
Favyen Bastani, Songtao He, Satvat Jagwani +5
Accurately maintaining digital street maps is labor-intensive. To address this challenge, much work has studied automatically processing geospatial data sources such as GPS traject…