joliGEN is an integrated framework for training custom generative AI image-to-image models. It implements GAN, diffusion and consistency models for paired and unpaired image-to-image translation, including domain and style adaptation that preserves semantics such as image and object classes and masks. A server with REST API is provided for deployment, and documentation includes quickstarts and dataset guidance.
Imagen is a text-to-image diffusion model from Google Research's Brain Team that creates photorealistic images from input text. It builds on large transformer language models for text understanding and cascaded diffusion models for image generation. The project also introduced DrawBench, a benchmark for comparing text-to-image models.
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.
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.
Hito Steyerl, Mean Images, NLR 140/141, March–June 2023 creates or edits images with generative AI and text-based controls.
Partially 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.
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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Imagen is a text-to-image diffusion model from Google Research's Brain Team that creates photorealistic images from input text. It builds on large transformer language models for text understanding and cascaded diffusion models for image generation. The project also introduced DrawBench, a benchmark for comparing text-to-image models.
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.
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.
Hito Steyerl, Mean Images, NLR 140/141, March–June 2023 creates or edits images with generative AI and text-based controls.
Partially 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.
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.
