Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grained analysis and even multiple steps of reasoning. In this work, we propose...
sRGB images are now the predominant choice for pre-training visual models in computer vision research, owing to their ease of acquisition and efficient storage. Meanwhile, the advantage of RAW images lies in their rich physical information under vari...
In the computer vision community, the preference for pre-training visual models has largely shifted toward sRGB images due to their ease of acquisition and compact storage. However, camera RAW images preserve abundant physical details across diverse...
Deep learning-based blind image deblurring plays an essential role in solving image blur since all existing kernels are limited in modeling the real world blur. Thus far, researchers focus on powerful models to handle the deblurring problem and achie...
This paper is an overview of Image Processing and Analysis using Scilab, a free prototyping environment for numerical calculations similar to Matlab. We demonstrate the capabilities of SIP -- the Scilab Image Processing Toolbox -- which extends Scila...
? WAS THERE “CLEAN UP”? • XANA’S ROOM • no visible SOLEPRINTS in entire crime scene • LATENT IMPRESSIONS found in red box on center right of image ◾️I’m not posting this image f...
2MASS 1207 b, the first directly imaged planetary-mass companion, has been instrumental in advancing our understanding of exoplanets and brown dwarfs over the past 20 years. We have performed extensive atmospheric retrieval analyses of 2MASS 1207 b's...
New satellite images from several key military bases in the Arabian Peninsula suggest that Iran is seeking to degrade air defenses by destroying US-made radars that detect incoming missiles and drones...
We present Alljoined1, a dataset built specifically for EEG-to-Image decoding. Recognizing that an extensive and unbiased sampling of neural responses to visual stimuli is crucial for image reconstruction efforts, we collected data from 8 participant...
A image processing toolbox for Solar Physics (⭐ 39)
Hours of step by step training using keras to do image classification using convnets from scratch, transfer learning and fine tuning. We also review visual similarity strategies and handle 2 use cases: Jeff Bezos vs Bill Gates, then Border Collie vs Yellow Lab…
This is a project in cryptography that involves implementing image encryption using various chaos maps and comparing their merits based on key sensitivity, (⭐ 124)
Tags: css, background-image, gradient | Score: 1436
Tags: image, javafx, illegalargumentexception | Score: 0
Tags: html, image, github, markdown, wiki | Score: 495
In this project we have designed and described a model which colourize a gray-scale image, with no human intervention. We propose a fully automatic process of colouring and re-colouring faded or gray-scale image with vibrant and pragmatic colours. We...
Mage allows you to create and use consistent AI characters across images and videos. Upload one reference image and use the same character in unlimited AI image and video generations — perfect …
Current image manipulation primarily centers on static manipulation, such as replacing specific regions within an image or altering its overall style. In this paper, we introduce an innovative dynamic manipulation task, subject repositioning. This ta...
Conventional image compression methods typically aim at pixel-level consistency while ignoring the performance of downstream AI tasks.To solve this problem, this paper proposes a Semantic-Assisted Image Compression method (SAIC), which can maintain s...
In controllable image generation, synthesizing coherent and consistent images from multiple reference inputs, i.e., Multi-Image Composition (MICo), remains a challenging problem, partly hindered by the lack of high-quality training data. To bridge th...