Results 271 to 280 of about 1,566,449 (300)
Blood volume-sensitive laminar fMRI with VASO in human hippocampus: Capabilities and biophysical challenges at clinical 7T scanners. [PDF]
Imaging Neurosci (Camb)Ahmadi K +6 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics
Computer Methods in Applied Mechanics and Engineering, 2021We present the application of a class of deep learning, known as Physics Informed Neural Networks (PINN), to inversion and surrogate modeling in solid mechanics. We explain how to incorporate the momentum balance and constitutive relations into PINN, and
E. Haghighat +4 more
semanticscholar +1 more source
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model so that the image can be faithfully reconstructed from the inverted code by the generator. As an emerging technique to bridge the real and fake image domains,
Weihao Xia +5 more
semanticscholar +1 more source
GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model so that the image can be faithfully reconstructed from the inverted code by the generator. As an emerging technique to bridge the real and fake image domains,
Weihao Xia +5 more
semanticscholar +1 more source
Negative-Prompt Inversion: Fast Image Inversion for Editing with Text-Guided Diffusion Models
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023In image editing employing diffusion models, it is crucial to preserve the reconstruction fidelity to the original image while changing its style. Although existing methods ensure reconstruction fidelity through optimization, a drawback of these is the ...
Daiki Miyake +3 more
semanticscholar +1 more source
Inversion-Free Image Editing with Natural Language
arXiv.org, 2023Despite recent advances in inversion-based editing, text-guided image manipulation remains challenging for diffusion models. The primary bottlenecks include 1) the time-consuming nature of the inversion process; 2) the struggle to balance consistency ...
Sihan Xu +4 more
semanticscholar +1 more source
In-Domain GAN Inversion for Real Image Editing
European Conference on Computer Vision, 2020Recent work has shown that a variety of semantics emerge in the latent space of Generative Adversarial Networks (GANs) when being trained to synthesize images. However, it is difficult to use these learned semantics for real image editing.
Jiapeng Zhu +3 more
semanticscholar +1 more source