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Captions is a video-editing and AI research company headquartered in New York City. Their flagship app, Captions, is available on iOS , Android , and Web and offers a suite of tools aimed at streamlining the creation and editing of videos.
Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation of images.
Dream is an image and video generation app powered by Stable Diffusion. It can be used to create images from text using a variety of style presets. It can also generate a deepfake using 5-10 images of source material. The app includes a premium tier, which gives users priority processing time and no in-app ads. [2] Wombo processes images in the ...
The app includes a library of pre-made templates and a tool that generates editable video captions. Users can export or save completed projects directly to different social media platforms. CapCut includes a free version and a paid Pro version with cloud storage and advanced features.
Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...
Further, one can take a list of caption-image pairs, convert the images into strings of symbols, and train a standard GPT-style transformer. Then at test time, one can just give an image caption, and have it autoregressively generate the image. This is the structure of Google Parti. [33]
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related to: image to caption io tool generator app designopenart.ai has been visited by 100K+ users in the past month