Dataset distillation synthesizes a small set of images from a large-scale real dataset such that synthetic and real images share similar behavioral properties (e.g, distributions of gradients or features) during a training process. Through extensive...
Google Images. La recherche d'images la plus complète sur le Web.
Google Image. Na de better image search wey dey web.
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Browse Getty Images' premium collection of high-quality, authentic Hugo Chávez photos & royalty-free pictures, taken by professional Getty Images photographers.
Docker Images from Oracle This repository contains Dockerfiles and samples to build Docker images for Oracle commercial products and Oracle sponsored open source projects.
Unsupervised cross-domain image retrieval (UCIR) aims to retrieve images of the same category across diverse domains without relying on annotations. Existing UCIR methods, which align cross-domain features for the entire image, often struggle with th...
This research study proposes using Generative Adversarial Networks (GAN) that incorporate a two-dimensional measure of human memorability to generate memorable or non-memorable images of scenes. The memorability of the generated images is evaluated b...
Image memorability refers to the phenomenon where certain images are more likely to be remembered than others. It is a quantifiable and intrinsic image attribute, defined as the likelihood of an image being remembered upon a single exposure. Despite...
Proof-of-concept to exploit the flaw in the PHP-GD built-in function, imagecreatefromjpeg() (⭐ 152)
Proof-of-concept to exploit the flaw in the PHP-GD built-in function, imagecreatefromgif() (⭐ 120)
ImageBind One Embedding Space to Bind Them All (⭐ 8984)
Image harmonization task aims at harmonizing different composite foreground regions according to specific background image. Previous methods would rather focus on improving the reconstruction ability of the generator by some internal enhancements suc...
Custom shaped android imageview components (⭐ 2669)
3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achieved impressive performance in this area, existing deep networks often...
While latent diffusion models achieve impressive image editing results, their application to iterative editing of the same image is severely restricted. When trying to apply consecutive edit operations using current models, they accumulate artifacts...
Criando um carrossel de imagens com html, css e Swiper js. (⭐ 12)
Advancements in Text-to-Image synthesis over recent years have focused more on improving the quality of generated samples using datasets with descriptive prompts. However, real-world image-caption pairs present in domains such as news data do not use...
The basic principles in designing convolutional neural network (CNN) structures for predicting objects on different levels, e.g., image-level, region-level, and pixel-level are diverging. Generally, network structures designed specifically for image...
This paper presents a novel stochastic optimisation methodology to perform empirical Bayesian inference in semi-blind image deconvolution problems. Given a blurred image and a parametric class of possible operators, the proposed optimisation approach...