Ultra-Wide-NeRF reconstructs wide field-of-view 3D ultrasound volumes using a multivariate Gaussian NeRF model that accounts for convex probe beam divergence to reduce stitching artifacts and enable novel view synthesis.
In: Proceedings of the IEEE/CVF international conference on computer vision
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
GeoRect4D couples 3D Gaussian splatting with a single-step diffusion rectifier via degradation-aware feedback and progressive optimization to improve fidelity and consistency in sparse-view dynamic 3D reconstruction.
SyncFix improves 3D reconstructions by synchronizing multi-view latent representations in a diffusion refinement process, generalizing from pair-wise training to arbitrary view counts at inference.
citing papers explorer
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Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction
Ultra-Wide-NeRF reconstructs wide field-of-view 3D ultrasound volumes using a multivariate Gaussian NeRF model that accounts for convex probe beam divergence to reduce stitching artifacts and enable novel view synthesis.
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GeoRect4D: Geometry-Compatible Generative Rectification for Dynamic Sparse-View 3D Reconstruction
GeoRect4D couples 3D Gaussian splatting with a single-step diffusion rectifier via degradation-aware feedback and progressive optimization to improve fidelity and consistency in sparse-view dynamic 3D reconstruction.
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SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization
SyncFix improves 3D reconstructions by synchronizing multi-view latent representations in a diffusion refinement process, generalizing from pair-wise training to arbitrary view counts at inference.