most citedPositional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models

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cs.CV2024

IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model

Matteo Bortolon, Theodore Tsesmelis, Stuart James +2

We introduce IFFNeRF to estimate the six degrees-of-freedom (6DoF) camera pose of a given image, building on the Neural Radiance Fields (NeRF) formulation. IFFNeRF is specifically…

cs.CV2024

PRAGO: Differentiable Multi-View Pose Optimization From Objectness Detections

Matteo Taiana, Matteo Toso, Stuart James +1

Robustly estimating camera poses from a set of images is a fundamental task which remains challenging for differentiable methods, especially in the case of small and sparse camera…

cs.CV20231 cited

Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models

Francesco Giuliari, Gianluca Scarpellini, Stuart James +2

Positional reasoning is the process of ordering unsorted parts contained in a set into a consistent structure. We present Positional Diffusion, a plug-and-play graph formulation wi…

cs.CV2022

PoserNet: Refining Relative Camera Poses Exploiting Object Detections

Matteo Taiana, Matteo Toso, Stuart James +1

The estimation of the camera poses associated with a set of images commonly relies on feature matches between the images. In contrast, we are the first to address this challenge by…

cs.CV2022

GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image

Davide Talon, Alessio Del Bue, Stuart James

Puzzle solving is a combinatorial challenge due to the difficulty of matching adjacent pieces. Instead, we infer a mental image from all pieces, which a given piece can then be mat…