Results 101 to 110 of about 98,087,126 (282)
A Diffusion Model Translator for Efficient Image-to-Image Translation
Applying diffusion models to image-to-image translation (I2I) has recently received increasing attention due to its practical applications. Previous attempts inject information from the source image into each denoising step for an iterative refinement, thus resulting in a time-consuming implementation.
Mengfei Xia +4 more
openaire +5 more sources
Translophagy—A potential link between autophagy impairment and translational errors
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
A Survey of Image Synthesis and Editing with Generative Adversarial Networks
This paper presents a survey of image synthesis and editing with Generative Adversarial Networks (GANs). GANs consist of two deep networks, a generator and a discriminator, which are trained in a competitive way. Due to the power of deep networks and the
Xian Wu, Kun Xu, Peter Hall
doaj +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation
A common goal of unpaired image-to-image translation is to preserve content consistency between source images and translated images while mimicking the style of the target domain.
Bonifaz Stuhr +3 more
doaj +1 more source
Artificial molecular machines and motors—Design and control of nanoscale motion
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source
Robust and secure perceptual image hashing in the transform domain [PDF]
The rapid development of multimedia devices such as computers, network technologies, and cell phones have made it easier for users to create, broadcast, convey, share, store, and distribute multimedia data including images, videos and audio files on a ...
Prungsinchai, Supakorn
core
Image Auto-annotation using a Statistical Model with Salient Regions
Traditionally, statistical models for image auto-annotation have been coupled with image segmentation. Considering the performance of the current segmentation algorithms, it can be meaningful to avoid a segmentation stage. In this paper, we propose a new
Hare, Jonathon S. +2 more
core +2 more sources
This study presents anchor-regularized generative adversarial network (GAN) priors to delicately explore the inherent knowledge of a pretrained generative model.
Huiting Yang +7 more
doaj +1 more source
A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source

