Search Results for author: Michał J. Tyszkiewicz

Found 3 papers, 1 papers with code

GECCO: Geometrically-Conditioned Point Diffusion Models

no code implementations ICCV 2023 Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls

Diffusion models generating images conditionally on text, such as Dall-E 2 and Stable Diffusion, have recently made a splash far beyond the computer vision community.

Denoising

DISK: Learning local features with policy gradient

3 code implementations NeurIPS 2020 Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls

Local feature frameworks are difficult to learn in an end-to-end fashion, due to the discreteness inherent to the selection and matching of sparse keypoints.

Ranked #2 on Image Matching on IMC PhotoTourism (using extra training data)

Image Matching reinforcement-learning +1

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