DxO’s annual update of its flagship photo editing software concentrates on image quality improvements and editing ...

To address this challenge, we introduce DENOISING, a versatile data-derived computational engine engineered to adjust thresholds adaptively based on large-scale extracellular signal characteristics ...

This repository contains MATLAB scripts and sample data for applying denoising method presented in: Mousavi, S. M., C. A. Langston, and S. P. Horton (2016). Automatic ...

The white paper covers topics related to state-space modeling, network architecture, event-based benchmark experiments and ...

Nvidia's DLSS is a critical piece of modern PC gaming tech, but one feature of the suite has flown under the radar.

Abstract: This article introduces a novel paradigm for hyperspectral image (HSI) denoising, which is termed pan-denoising. In a given scene, panchromatic (PAN) images capture similar structures and ...

This repository is an official implementation of our ECCV 2024 paper Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection. This ...

Abstract: In the past decade, deep neural networks have revolutionized image denoising in achieving significant accuracy improvements by learning on datasets composed of noisy/clean image pairs.

So a diffusion model, denoising data, peak signal-to-noise-ratio, RL-agent, autoregressive model, and thermodynamics walk ...

1 School of Electrical and Information Technology, Yunnan Minzu University, Kunming, China 2 Yunnan Key Laboratory of Unmanned Autonomous System, Yunnan Minzu University, Kunming, China The shallow ...

The new DeepPRIME XD2s pushes the boundaries of RAW science and workflows are faster, but what will really get your attention ...

Its DeepPRIME XD2s denoising process is, in my view, unmatched, its lens corrections go much further than its rivals and both its global adjustments and local adjustments are now very powerful indeed.