Search Results for author:
Found 2 papers, 1 papers with code
Depth-guided NeRF Training via Earth Mover's Distance
This work proposes a novel approach to uncertainty in depth priors for NeRF supervision.
Revisiting Active Learning in the Era of Vision Foundation Models
Foundation vision or vision-language models are trained on large unlabeled or noisy data and learn robust representations that can achieve impressive zero- or few-shot performance on diverse tasks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
