1 citations · 1 across the 3 of their papers we have counts for
4 papers
On Color Alignment in VAE Latent Spaces and Its Applications
Julian D. Santamaria, Kai Wang, Jesús Malo +2
Variational autoencoders (VAEs) are a key part of modern text-to-image models, which generate images within their latent space. VAEs are known to disentangle the main factors of va…
DriftScope: Measuring The Hidden Effects of Diffusion Model Adaptation
Héctor Laria, Yiping Han, Julian D. Santamaria +4
Adapting pre-trained text-to-image diffusion models, whether to learn new visual concepts or erase unwanted ones, is routinely evaluated on its intended effects alone. We argue thi…
WildIng: A Wildlife Image Invariant Representation Model for Geographical Domain Shift
Julian D. Santamaria, Claudia Isaza, Jhony H. Giraldo
Wildlife monitoring is crucial for studying biodiversity loss and climate change. Camera trap images provide a non-intrusive method for analyzing animal populations and identifying…
CATALOG: A Camera Trap Language-guided Contrastive Learning Model
Julian D. Santamaria, Claudia Isaza, Jhony H. Giraldo
Foundation Models (FMs) have been successful in various computer vision tasks like image classification, object detection and image segmentation. However, these tasks remain challe…