Pix2Pix
PulseAugur coverage of Pix2Pix — every cluster mentioning Pix2Pix across labs, papers, and developer communities, ranked by signal.
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New datasets and models advance underwater image enhancement techniques · 4 sources tracked
Researchers have introduced several new frameworks and datasets for improving underwater image enhancement (UIE). The $\pi$-SUB dataset, developed using a physics-informed framework, aims to bridge the gap between synth…
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New diffusion model generates satellite imagery using wavelet-domain conditioning
Researchers have developed a novel diffusion framework that utilizes wavelet-domain conditioning for generating satellite imagery from cartographic data. This approach, built upon ControlNet and a Stable Diffusion backb…
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AI and Infrared Imaging Offer Radiation-Free Pediatric Skeletal Trauma Diagnosis
Researchers have proposed a novel approach combining infrared (IR) imaging with artificial intelligence to create a radiation-free alternative for diagnosing pediatric skeletal trauma. This method utilizes various IR sp…
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MIRAGE model enhances MRI contrast enhancement prediction
Researchers have developed MIRAGE, a novel 2D U-Net model designed to infer contrast enhancement in breast MRIs from pre-contrast slices. The model integrates global reconstruction and perceptual losses with specialized…
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New benchmark measures off-target drift in AI medical image editing
Researchers have introduced CIB-Med-1, a new benchmark designed to evaluate diffusion models used for medical image editing. This benchmark addresses the issue of "off-target drift," where models may alter unintended as…
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New GAN synthesizes Hajj crowd images, boosting crowd-counting models
Researchers have developed Pix2Pix-Hybrid (P2P-H), a novel conditional GAN designed to synthesize realistic crowd images for the Hajj pilgrimage, addressing the scarcity of annotated data and privacy concerns. The model…
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New diffusion model reconstructs faces from skull X-rays
Researchers have developed Cranio-Diff, a novel diffusion-based framework for reconstructing faces from 2D X-ray skull images. This method addresses limitations in existing generative models by integrating skull-conditi…
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AI models benchmarked for intraoperative ultrasound to MRI synthesis
Researchers have systematically benchmarked six different AI architectures for synthesizing MRI-like images from intraoperative ultrasound data. The study evaluated 48 experiments across various inference regimes and ta…
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Deep learning model accurately segments cardiac fat deposits
Researchers have developed a new deep learning method for segmenting cardiac fat deposits using computed tomography scans. The approach utilizes the pix2pix generative adversarial network, adapted for image-to-image tra…
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Generative models compared for 3D medical image translation
Researchers have conducted a comprehensive evaluation of seven generative models for 3D medical image-to-image translation, comparing GANs against latent generative models across numerous datasets and anatomical regions…
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Pix2Geomodel shows robustness and transferability in complex reservoir modeling
Researchers have developed a Pix2Pix-based model, Pix2Geomodel, to improve reservoir geomodeling by translating between geological facies and petrophysical properties. The model demonstrated robustness and transferabili…
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AI research maps license plate recognition limits under extreme viewing angles
Researchers have developed a novel method called recoverability maps to quantify the limits of AI-based image restoration for tasks like license plate recognition. This approach systematically tests various degradation …