GANs-based PIV resolution enhancement without the need of high-resolution input

High-resolution PIV analysis of compressibility effects in turbulent jets

An investigation on the compressibility effects arising into the near field of turbulent jets operated at high Reynolds number at Mach numbers M=0.3, 0.9 and 1.1 (under-expanded regime) is carried out with twocomponents planar PIV experiments with high resolution cameras. The arrangement of the PIV system allows for mapping out the flow field with a vector pitch equal to 0.17mm along the stream...

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

We present a new method for synthesizing highresolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs). Conditional GANs have enabled a variety of applications, but the results are often limited to lowresolution and still far from realistic. In this work, we generate 2048 × 1024 visually appealing results with a novel adversa...

Corpus based coreference resolution for Farsi text

"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...

Face Super-Resolution Through Wasserstein GANs

Generative adversarial networks (GANs) have received a tremendous amount of attention in the past few years, and have inspired applications addressing a wide range of problems. Despite its great potential, GANs are difficult to train. Recently, a series of papers (Arjovsky & Bottou, 2017a; Arjovsky et al. 2017b; and Gulrajani et al. 2017) proposed using Wasserstein distance as the training obje...

Implantable Microsystems for High-Resolution Interfacing to the Brain