Semantic image segmentation (SiS) plays a fundamental role in a broad variety of computer vision applications, providing key information for the global understanding of an image. This survey is an effort to summarize two decades of research in the fi...
The deep image prior showed that a randomly initialized network with a suitable architecture can be trained to solve inverse imaging problems by simply optimizing it's parameters to reconstruct a single degraded image. However, it suffers from two pr...
Image restoration with neural networks but without learning. (⭐ 8071)
Sep 23, 2025 · Images smaller than 2048 pixels are simply too small. I can't do anything with them, even though I'm a paying subscriber. Can I quickly download images in higher resolution? Otherwise, I'll …
Google Imagens. A pesquisa de imagens mais abrangente na Web.
Imagens do Google. A pesquisa de imagens mais completa da web.
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Computed Tomography (CT) is a technology that reconstructs cross-sectional images using X-ray images taken from multiple directions. In CT, hundreds of X-ray images acquired as the X-ray source and detector rotate around a central axis, are used for...
In the last years, image classification processes like neural networks in the area of art-history and Heritage Informatics have experienced a broad distribution (Lang and Ommer 2018). These methods face several challenges, including the handling of c...
Current image tokenization methods require a large number of tokens to capture the information contained within images. Although the amount of information varies across images, most image tokenizers only support fixed-length tokenization, leading to...
Despite recent advances in image-to-video generation, better controllability and local animation are less explored. Most existing image-to-video methods are not locally aware and tend to move the entire scene. However, human artists may need to contr...
An imagemagick buildpack install with less restrictive policy limits. (⭐ 0)
Do it like => validates :photos, attached: true, content_type: ['image/png', 'image/jpg', 'image/jpeg'], size: { less_than: 500.kilobytes }, limit: { min: 1, max: 3 }, aspect_ratio: :landscape, dimension: { width: { in: 800..1600 } (⭐ 1163)
Tags: android, image, camera, rotation, android-camera-intent | Score: 473
Tags: css, image, vertical-alignment | Score: 1750
Tags: computer-vision, image-segmentation, evaluation-strategy | Score: 25
Google Imagens. A pesquisa de imagens mais abrangente na Web.
Imagens do Google. A pesquisa de imagens mais completa da web.
While the wisdom of training an image dehazing model on synthetic hazy data can alleviate the difficulty of collecting real-world hazy/clean image pairs, it brings the well-known domain shift problem. From a different yet new perspective, this paper...
Existing fashion datasets do not consider the multi-facts that cause a consumer to like or dislike a fashion image. Even two consumers like a same fashion image, they could like this image for total different reasons. In this paper, we study the reas...