Pschaldenbrand

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Average Model Cost: $0.0000

Number of Runs: 9,320

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text2video

pschaldenbrand

Text2Video is a method developed by the Bot Intelligence Group at CMU for generating videos based on a series of language descriptions. The goal of this method is to produce videos that have a surreal or bizarre visual style, which can be achieved by mapping the descriptions to a sequence of visual elements and rendering them into a video. The method combines natural language processing and video generation techniques to create these unique and unconventional videos.

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style-clip-draw

StyleCLIP-Draw is a text-to-image synthesis model that generates drawings based on textual descriptions. It is designed to generate drawings in a specific style specified by the user, by combining a text encoder and a style encoder. The text encoder converts the input text into a latent space representation, while the style encoder maps the input style image into a style latent code. These two latent codes are then combined and decoded into an image by a generator network. The model allows users to control the style and content of the generated drawings by modifying the input text and style image.

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