5 papers
Spectral Guidance for Flexible and Efficient Control of Diffusion Models
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
We introduce Spectral Guidance, a framework for controlling diffusion models by leveraging the intrinsic geometry of the generative process. As data is progressively corrupted by n…
Native Hierarchical and Compositional Representations with Subspace Embeddings
Gabriel Moreira, Zita Marinho, Manuel Marques +2
Traditional embeddings represent datapoints as vectors, which makes similarity easy to compute but limits how well they capture hierarchies and compositionality. We propose a funda…
Rotation Averaging: A Primal-Dual Method and Closed-Forms in Cycle Graphs
Gabriel Moreira, Manuel Marques, João Paulo Costeira
A cornerstone of geometric reconstruction, rotation averaging seeks the set of absolute rotations that optimally explains a set of measured relative orientations between them. In a…
Learning Visual-Semantic Subspace Representations
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
Learning image representations that capture rich semantic relationships remains a significant challenge. Existing approaches are either contrastive, lacking robust theoretical guar…
VICAN: Very Efficient Calibration Algorithm for Large Camera Networks
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
The precise estimation of camera poses within large camera networks is a foundational problem in computer vision and robotics, with broad applications spanning autonomous navigatio…