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of 57
pro vyhledávání: '"Willcocks, Chris G."'
This paper investigates a 2D to 3D image translation method with a straightforward technique, enabling correlated 2D X-ray to 3D CT-like reconstruction. We observe that existing approaches, which integrate information across multiple 2D views in the
Externí odkaz:
http://arxiv.org/abs/2406.18422
Autor:
Corona-Figueroa, Abril, Bond-Taylor, Sam, Bhowmik, Neelanjan, Gaus, Yona Falinie A., Breckon, Toby P., Shum, Hubert P. H., Willcocks, Chris G.
Generating 3D images of complex objects conditionally from a few 2D views is a difficult synthesis problem, compounded by issues such as domain gap and geometric misalignment. For instance, a unified framework such as Generative Adversarial Networks
Externí odkaz:
http://arxiv.org/abs/2308.14152
Autor:
Bond-Taylor, Sam, Willcocks, Chris G.
This paper introduces $\infty$-Diff, a generative diffusion model defined in an infinite-dimensional Hilbert space, which can model infinite resolution data. By training on randomly sampled subsets of coordinates and denoising content only at those l
Externí odkaz:
http://arxiv.org/abs/2303.18242
Neural Radiance Fields (NeRF) have attracted significant attention due to their ability to synthesize novel scene views with great accuracy. However, inherent to their underlying formulation, the sampling of points along a ray with zero width may res
Externí odkaz:
http://arxiv.org/abs/2211.12285
Autor:
McKinney, Alex F., Willcocks, Chris G.
An ongoing trend in generative modelling research has been to push sample resolutions higher whilst simultaneously reducing computational requirements for training and sampling. We aim to push this trend further via the combination of techniques - ea
Externí odkaz:
http://arxiv.org/abs/2206.12351
Autor:
Corona-Figueroa, Abril, Frawley, Jonathan, Bond-Taylor, Sam, Bethapudi, Sarath, Shum, Hubert P. H., Willcocks, Chris G.
Computed tomography (CT) is an effective medical imaging modality, widely used in the field of clinical medicine for the diagnosis of various pathologies. Advances in Multidetector CT imaging technology have enabled additional functionalities, includ
Externí odkaz:
http://arxiv.org/abs/2202.01020
Whilst diffusion probabilistic models can generate high quality image content, key limitations remain in terms of both generating high-resolution imagery and their associated high computational requirements. Recent Vector-Quantized image models have
Externí odkaz:
http://arxiv.org/abs/2111.12701
We propose a novel unpaired image-to-image translation method that uses denoising diffusion probabilistic models without requiring adversarial training. Our method, UNpaired Image Translation with Denoising Diffusion Probabilistic Models (UNIT-DDPM),
Externí odkaz:
http://arxiv.org/abs/2104.05358
Autor:
Isaac-Medina, Brian K. S., Poyser, Matt, Organisciak, Daniel, Willcocks, Chris G., Breckon, Toby P., Shum, Hubert P. H.
Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both negligent and malicious use. For this reason, the automated detection and tracking of UAV is a fundamental task in aerial security systems. Common technologies for
Externí odkaz:
http://arxiv.org/abs/2103.13933
Deep generative models are a class of techniques that train deep neural networks to model the distribution of training samples. Research has fragmented into various interconnected approaches, each of which make trade-offs including run-time, diversit
Externí odkaz:
http://arxiv.org/abs/2103.04922