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Found 4 papers, 1 papers with code
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Furthermore, the cascading learning of NeRF-VPT introduces adaptability to scenarios with sparse inputs, resulting in a significant enhancement of accuracy for sparse-view novel view synthesis.
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction
After the restored Radon data is reconstructed to an image, the image is sent into the second CAGAN trained for recovering the details, so that a high-quality image is obtained.
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction
Sparse-view computed tomography (CT) is known as a widely used approach to reduce radiation dose while accelerating imaging through lowered projection views and correlated calculations.
Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information
In stage one, to better utilize prior information in the Radon domain, we design an adversarial autoencoder to complement the Radon data.
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