It is important to note that our model GLIGEN is designed for open-world grounded text-to-image generation with caption and various condition inputs (e.g. bounding box). However, we also recognize the importance of responsible AI considerations and the need to clearly communicate the capabilitie...
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Face Landmarks Detection: Find facial features such as face contour, eyes, mouth and nose in an image Screenshot 1 2018 swift vision ☆150 FriendlyEats for Cloud Firestore 2024 swift firebase firestore ☆129 GRDBCombine: Set of extensions for SQLite, GRDB.swift, and Combine Screenshot ...
Multi-modal language-vision models trained on hundreds of millions of image-text pairs (e.g. CLIP, DALL-E) gained a recent surge, showing remarkable capability to perform zero- or few-shot learning and transfer even in absence of per-sample labels on target image data. Despite this trend,...
In this example, we see an sp3d defined which contains information defining both a top and bottom bevel, along with an extrusion and contour on the shape. The following image illustrates a shape with the applied sp3d:c4e92807-8216-41e1-9580-b168d77c2dbdend example]...
However, all of these models usually only take a caption as the input, which can be difficult for conveying other information such as the precise location of an object. Make-A-Scene [13] also incorporates semantic maps into its text-to-image generation, by training an encoder to tokenize ...
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All articles accepted and published inIET Image Processingare fully Open Access: immediately freely available to read, download and share. Submissions will be subject to an APC if accepted and published in the journal: $2,740 USD / £2,140 GBP / €2,500 EUR ...
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one for the image and one for the corresponding text. Both files should have the same name but different extensions. For instance,shard_001.tarcould contain files such asabc.jpgandabc.txt. You can learn more aboutwebdatasetathttps://github.com/webdataset/webdataset. We use.tarfiles with 1...