Results 41 to 50 of about 20,627 (197)

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Recovery of Missing Samples Using Sparse Approximation via a Convex Similarity Measure

, 2017
In this paper, we study the missing sample recovery problem using methods based on sparse approximation. In this regard, we investigate the algorithms used for solving the inverse problem associated with the restoration of missed samples of image signal.
Javaheri, Amirhossein, Marvasti, Farokh, Zayyani, Hadi   +2 more
core   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

Generator pyramid for high-resolution image inpainting

Complex & Intelligent Systems, 2023
Inpainting high-resolution images with large holes challenges existing deep learning-based image inpainting methods. We present a novel framework—PyramidFill for high-resolution image inpainting, which explicitly disentangles the task into two sub-tasks:
Leilei Cao, Tong Yang, Yixu Wang, Bo Yan, Yandong Guo   +4 more
doaj   +1 more source

Progressively Inpainting Images Based on a Forked-Then-Fused Decoder Network

Sensors, 2021
Image inpainting aims to fill in corrupted regions with visually realistic and semantically plausible contents. In this paper, we propose a progressive image inpainting method, which is based on a forked-then-fused decoder network.
Shuai Yang, Rong Huang, Fang Han
doaj   +1 more source

Optimising Spatial and Tonal Data for PDE-based Inpainting

, 2015
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by inpainting with a partial differential equation (PDE).
Doerr, Benjamin, Hoeltgen, Laurent, Hoffmann, Sebastian, Johannsen, Daniel, Mainberger, Markus, Neumann, Frank, Setzer, Simon, Tang, Ching Hoo, Weickert, Joachim   +8 more
core   +1 more source

Image Inpainting by Cooling and Heating [PDF]

, 2007
We discuss a method suitable for inpainting both large scale geometric structures and stochastic texture components. We use the wellknown FRAME model for inpainting. We introduce a temperature term in the learnt FRAME Gibbs distribution. By using a fast cooling scheme a MAP-like solution is found that can reconstruct the geometric structure.
Gustafsson, David Karl John, Pedersen, Kim Steenstrup, Nielsen, Mads   +2 more
openaire   +1 more source

Visualizing Metal Nanoparticle Electrochemical Dissolution Atom by Atom

Small, EarlyView.
The early stages of the electrochemical dissolution of gold nanoparticles (NPs) on electron beam transparent carbon‐based supports are investigated using identical location scanning transmission electron microscopy at atom resolution. Numbers of atoms lost (and gained), along with morphology changes are tracked for the same NP within an ensemble, over ...
Pei Zhao, Daniel Houghton, Richard Beanland, Julie V. Macpherson   +3 more
wiley   +1 more source

Review of Deep Learning-Based Image Inpainting Techniques

IEEE Access
The deep learning-based image inpainting models discussed in this review are critical image processing techniques for filling in missing or removed regions in static planar images, and they have been extensively researched and applied.
Jing Yang, Nur Intan Raihana Ruhaiyem
doaj   +1 more source

Raindrop Removal With Light Field Image Using Image Inpainting

IEEE Access, 2020
In this paper, we propose a method that removes raindrops with light field image using image inpainting. We first use the depth map generated from light field image to detect raindrop regions which are then expressed as a binary mask.
Tao Yang, Xiaofei Chang, Hang Su, Nathan Crombez, Yassine Ruichek, Tomas Krajnik, Zhi Yan   +6 more
doaj   +1 more source