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.
Fooocus
Open-source project that creates or edits images with generative AI and text-based controls.
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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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0A blog post explaining why upscaling AI-generated images matters in image-to-image workflows. It describes how diffusion models apply and remove noise, and how higher-resolution reference images give the model more defined details. The post compares a low-resolution and upscaled example using Stable Diffusion's ControlNet with the canny model, and mentions upscaling options including ImgUpscaler, TopazLabs and Upscale Media.
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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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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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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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