CurveLab is a toolbox implementing the Fast Discrete Curvelet Transform in Matlab and C++, currently at version 2.1.2. Academics at not-for-profit organizations may download the source code for non-commercial research after registering and signing a license agreement. Commercial use and use by for-profit organizations require a commercial license from the Caltech Office of Technology Transfer, which includes a free trial period.
nateraw/stable-diffusion-videos
nateraw/stable-diffusion-videos is a GitHub repository that provides tools for creating videos with Stable Diffusion by exploring the latent space and morphing between text prompts, with support for making music videos.
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0CurveLab is a toolbox implementing the Fast Discrete Curvelet Transform in Matlab and C++, currently at version 2.1.2. Academics at not-for-profit organizations may download the source code for non-commercial research after registering and signing a license agreement. Commercial use and use by for-profit organizations require a commercial license from the Caltech Office of Technology Transfer, which includes a free trial period.
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Computer Vision Art Gallery is a site for the CVPR 2021 art gallery, held virtually due to COVID-19. It lists a winner, shortlisted works and all accepted works, each credited to artists with titles and years.
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0Partially Derivative is a podcast hosted by Chris and Vidya, described as "Car Talk for the data community." Episodes discuss data science, artificial intelligence, deep learning, p-values and related topics. The site notes that the last episode was released for now in September 2017.
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0Hito Steyerl, Mean Images, NLR 140/141, March–June 2023 creates or edits images with generative AI and text-based controls.
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A documentation page about glitching PNG images. It covers the format's checksum system, the transcode process, filters, and other elements that influence the appearance of glitches, noting that PNG's CRC32 checksum makes simple binary edits fail.
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PyTTI is a toolkit that facilitates image generation, animation, and manipulation through processes described as a human artist collaborating with AI assistants. The project states that users do not need to be deep learning experts or know coding to use the tools.
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