Research team diving during sampling off the island of Curaçao (Caribbean Sea). Credit to Brad Weiler and Javier del Campo. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of ...

Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...

Abstract: Sparse-view sampling for computed tomography (CT) reduces radiation exposure in medical imaging but suffers from severe artifacts due to ill-posed nature of under-sampled reconstruction.

Once clicked, it's half believed – when we choose information ourselves, we are particularly inclined to believe it to be true. The image may only be used in the context of the press release "Why We ...

Our method offers (a) superior quantitative performance, (b) improved qualitative results. It is (c) adaptable to various IR applications, (d) robust to different ...

This repo realizes the training of score function and image reconstruction, for both 2D demo and 3D real data. Requires PyBind11. This is a minimal CPU-based ray-tracing projector implemented in C++ ...