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cs.CV2026
Learning Cardiac Motion Priors for Implicit Neural Representations
Andrew Bell, George Webber, Andrew P King +3
Implicit neural representations (INRs) are well suited to cardiac motion estimation, providing continuous, compact representations of motion fields. However, fitting an INR to each…
eess.IV2026
Solving Inverse Problems with Flow-based Models via Model Predictive Control
George Webber, Alexander Denker, Riccardo Barbano +1
Flow-based generative models provide strong unconditional priors for inverse problems, but guiding their dynamics for conditional generation remains challenging. Recent work casts…
cs.LG2026
Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems
George Webber, Andrew J. Reader
Recovering true signals from noisy measurements is a central challenge in inverse problems spanning medical imaging, geophysics, and signal processing. Current methods balance prio…