image super resolution - Robuta Search

https://pmc.ncbi.nlm.nih.gov/articles/PMC12102193/ Image super-resolution inspired electron density prediction - PMC Predicting ground-state electron densities of chemical systems has recently received growing attention in machine learning quantum chemistry, given their... image super resolution electron density inspired prediction pmc https://arxiv.org/abs/2509.06413 [2509.06413] VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment:... Abstract page for arXiv paper 2509.06413: VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results image super resolution https://arxiv.org/abs/2202.11763 [2202.11763] Single Image Super-Resolution Methods: A Survey Abstract page for arXiv paper 2202.11763: Single Image Super-Resolution Methods: A Survey image super resolution 2202 single methods survey https://openreview.net/forum?id=0JXGusc7E2&referrer=%5Bthe%20profile%20of%20Zongwei%20Wu%5D(%2Fprofile%3Fid%3D~Zongwei_Wu1) See More Details: Efficient Image Super-Resolution by Experts Mining | OpenReview Reconstructing high-resolution (HR) images from low-resolution (LR) inputs poses a significant challenge in image super-resolution (SR). While recent... see more details image super resolution efficient https://oecd.ai/en/catalogue/metric-use-cases/efficient-image-super-resolution-via-symmetric-visual-attention-network-2 Efficient Image Super-Resolution via Symmetric Visual Attention Network - OECD.AI In this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the... image super resolution visual attention efficient via https://openreview.net/forum?id=O4FRlo74m0&referrer=%5Bthe%20profile%20of%20Adrian%20Hilton%5D(%2Fprofile%3Fid%3D~Adrian_Hilton1) Attention-based multi-reference learning for image super-resolution | OpenReview This paper proposes a novel Attention-based Multi-Reference Super-resolution network (AMRSR) that, given a low-resolution image, learns to adaptively transfer... image super resolution attention based multi reference https://openreview.net/forum?id=tbd9f3HwPy GhostSR: Learning Ghost Features for Efficient Image Super-Resolution | OpenReview Modern single image super-resolution (SISR) systems based on convolutional neural networks (CNNs) have achieved impressive performance but require huge... image super resolution learning ghost features efficient https://arxiv.org/abs/2410.18083 [2410.18083] FIPER: Factorized Features for Robust Image Super-Resolution and Compression Abstract page for arXiv paper 2410.18083: FIPER: Factorized Features for Robust Image Super-Resolution and Compression image super resolution https://openreview.net/forum?id=JB6cNTFChD&referrer=%5Bthe%20profile%20of%20Zhanyu%20Ma%5D(%2Fprofile%3Fid%3D~Zhanyu_Ma1) FourierSR: A Fourier Token-based Plugin for Efficient Image Super-Resolution | OpenReview Image super-resolution (SR) aims to recover low-resolution images to high-resolution images, where improving SR efficiency is a high-profile challenge.... image super resolution https://deepai.org/publication/physics-informed-ensemble-representation-for-light-field-image-super-resolution Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution | DeepAI May 31, 2023 - 05/31/23 - Recent learning-based approaches have achieved significant progress in light field (LF) image super-resolution (SR) by exploring c... image super resolution for light physics informed ensemble https://openreview.net/forum?id=owziuM1nsR Recursive Generalization Transformer for Image Super-Resolution | OpenReview Transformer architectures have exhibited remarkable performance in image super-resolution (SR). Since the quadratic computational complexity of the... image super resolution recursive generalization transformer openreview https://deepai.org/publication/hyperspectral-image-super-resolution-via-dual-domain-network-based-on-hybrid-convolution Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution | DeepAI Apr 10, 2023 - 04/10/23 - Since the number of incident energies is limited, it is difficult to directly acquire hyperspectral images (HSI) with high spatial... image super resolution https://arxiv.org/abs/2406.17869v1 [2406.17869v1] Burst Image Super-Resolution with Base Frame Selection Abstract page for arXiv paper 2406.17869v1: Burst Image Super-Resolution with Base Frame Selection image super resolution base frame 2406 burst selection https://deepai.org/publication/deep-iterative-residual-convolutional-network-for-single-image-super-resolution Deep Iterative Residual Convolutional Network for Single Image Super-Resolution | DeepAI Sep 7, 2020 - 09/07/20 - Deep convolutional neural networks (CNNs) have recently achieved great success for single image super-resolution (SISR) task due t... image super resolution convolutional network deep iterative residual https://www.preprints.org/manuscript/201811.0400 A Sensor Image Super-Resolution via Advanced Generative Adversarial Network[v1] | Preprints.org Complementary Metal-Oxide-Semiconductor (CMOS) is a typical image sensor that has a wide range of applications. However, considering the limitations of the... image super resolution https://openreview.net/forum?id=fweY2v9xpfE&referrer=%5Bthe%20profile%20of%20Lingshun%20Kong%5D(%2Fprofile%3Fid%3D~Lingshun_Kong1) Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022... Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While... image super resolution https://oecd.ai/en/catalogue/metric-use-cases/efficient-image-super-resolution-via-symmetric-visual-attention-network-1 Efficient Image Super-Resolution via Symmetric Visual Attention Network - OECD.AI In this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the... image super resolution visual attention efficient via https://openreview.net/forum?id=QFMcXz6e4Y Lightweight Image Super-Resolution via Flexible Meta Pruning | OpenReview Lightweight image super-resolution (SR) methods have obtained promising results with moderate model complexity. These approaches primarily focus on a... image super resolution lightweight via flexible meta https://deepai.org/publication/a-fully-progressive-approach-to-single-image-super-resolution A Fully Progressive Approach to Single-Image Super-Resolution | DeepAI Apr 9, 2018 - 04/09/18 - Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error me... image super resolution fully progressive approach single https://www.mdpi.com/2072-4292/12/8/1263 Improved SRGAN for Remote Sensing Image Super-Resolution Across Locations and Sensors Detailed and accurate information on the spatial variation of land cover and land use is a critical component of local ecology and environmental research. For... remote sensing image https://www.mdpi.com/1424-8220/23/4/1863 Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological... Hyperspectral Imaging (HSI) is increasingly adopted in medical applications for the usefulness of understanding the spectral signature of specific organic and... image super resolution real time https://arxiv.org/abs/2206.08345v1 [2206.08345v1] Real-World Single Image Super-Resolution Under Rainy Condition Abstract page for arXiv paper 2206.08345v1: Real-World Single Image Super-Resolution Under Rainy Condition image super resolution real world 2206 single https://deepai.org/publication/srpgan-perceptual-generative-adversarial-network-for-single-image-super-resolution SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution | DeepAI Dec 16, 2017 - 12/16/17 - Single image super resolution (SISR) is to reconstruct a high resolution image from a single low resolution image. The SISR task h... image super resolution perceptual generative adversarial network https://deepai.org/publication/linear-depthwise-convolution-for-single-image-super-resolution Linear Depthwise Convolution for Single Image Super-Resolution | DeepAI Aug 7, 2019 - 08/07/19 - Recent work on super-resolution show that a very deep convolutional neural networks (CNN) have obtained remarkable performance. Ho... image super resolution linear convolution single deepai https://openreview.net/forum?id=ZIyAHaLlsn ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting | OpenReview Diffusion-based image super-resolution (SR) methods are mainly limited by the low inference speed due to the requirements of hundreds or even thousands of... image super resolution diffusion model https://bigjpg.com/ Bigjpg - AI Super-Resolution lossless image enlarging / upscaling tool using Deep Convolutional... Bigjpg - Image Super-Resolution for Anime-style artworks using the Deep Convolutional Neural Networks without quality loss. Photos are also supported. super resolution https://www.mdpi.com/2072-4292/13/16/3301 A No-Reference CNN-Based Super-Resolution Method for KOMPSAT-3 Using Adaptive Image Quality... In recent years, research on increasing the spatial resolution and enhancing the quality of satellite images using the deep learning-based super-resolution... https://www.adobe.com/my_en/products/photoshop-lightroom/super-resolution.html Super Resolution - Boost image quality to the max - Adobe Pack more megapixels into your photos with one click. Use this feature in Adobe Lightroom to create ultra-high-resolution images. to the max super resolution image quality boost adobe https://www.adobe.com/africa/products/photoshop-lightroom/super-resolution.html Super Resolution - Boost image quality to the max - Adobe Pack more megapixels into your photos with one click. Use this feature in Adobe Lightroom to create ultra-high-resolution images. to the max super resolution image quality boost adobe https://openreview.net/forum?id=cWHonXThtM Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution |... Knowledge distillation (KD) is a promising yet challenging model compression approach that transmits rich learning representations from robust but... knowledge distillation https://www.topazlabs.com/topaz-gigapixel? Topaz Gigapixel - Super-size & Upscale Image & Photo Resolution Improve image resolution with deep learning. Join hundreds of thousands of photographers who use Topaz Gigapixel for printing, cropping, restoration, and more. topaz gigapixel super size upscale image photo resolution https://bigjpg.com/?ref=tiny-helpers Bigjpg - AI Super-Resolution lossless image enlarging / upscaling tool using Deep Convolutional... Bigjpg - Image Super-Resolution for Anime-style artworks using the Deep Convolutional Neural Networks without quality loss. Photos are also supported. super resolution