Results 181 to 190 of about 16,046 (295)
Camera Fingerprint estimation with a Generative Adversarial Network (GAN)
Electronic Imaging, 2021 openaire +1 more source
High Voltage, EarlyView.ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley +1 more source
Paired CycleGAN‐based virtual staining for 3D X‐ray histology of bone‐implant systems
Journal of Synchrotron Radiation, EarlyView.This work demonstrates virtual staining for 3D X‐ray histology using a modified CycleGAN trained on paired synchrotron radiation microtomography (SR‐µCT) and histology images of bone‐implant specimens. The method enables the generation of artificially coloured contrast resembling conventional histological staining from label‐free SR‐µCT data and is ...
Sarah C. Irvine +5 more
wiley +1 more source
Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?
Global Policy, EarlyView.ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley +1 more source
Bioethics, EarlyView.ABSTRACT Artificial intelligence (AI)‐generated synthetic data has emerged as a promising solution to address the underrepresentation of underserved populations in medical AI systems. By artificially generating data that mimics real‐world patient information, proponents argue that AI‐generated synthetic data can fill data gaps, improve algorithmic ...
Stéphanie Baggio
wiley +1 more source
Computer Graphics Forum, EarlyView.VividHairEdit is an advanced StyleGAN2 inversion system for high‐fidelity hair transfer and editing. Our system features improved structural integration, vibrant appearance representation, and optimized latent code selection, achieving superior generation quality and usability. A user‐friendly sketch interface enables precise modifications that reflect
Eunyeong Choi, Sihun Jin, Dongjoon Kim
wiley +1 more source
Generative Adversarial Networks for Synthetic Cell Imaging
Generative Adversarial Networks for Synthetic Cell Imaging discusses the topic of Generative Adversarial Networks (GAN) used for cell image generation. The thesis proposes a solution for the need of cell image data for medical research. With the use of a
Hammoud, Haidar
core
Adaptive Sampling for BRDF Acquisition
Computer Graphics Forum, EarlyView.We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi +3 more
wiley +1 more source
MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild
Computer Graphics Forum, EarlyView.Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech +4 more
wiley +1 more source
Style Brush: Guided Style Transfer for 3D Objects
Computer Graphics Forum, EarlyView.We introduce Style Brush, a guided 3D style‐transfer method for textured meshes that provides precise creative control. It supports the use of multiple style images, smooth transitions and intuitive guidance, producing visually appealing textures that follow user intent as we demonstrate in our user study and results. Abstract We introduce Style Brush,
Áron Samuel Kovács +2 more
wiley +1 more source