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Apply for community grant: Academic project (gpu)
NamedCurves is a novel image enhancement method that decomposes an image into a small set of named colors and enhances them using a learned set of tone curves. This decomposition improves the model’s interactivity, allowing users to manipulate specific colors in the image by adjusting the corresponding tone curves. A key novelty of our approach lies in allowing users to modify the intermediate tone curve assigned to each named color, providing greater flexibility to tailor the enhanced image to their preferences.
Currently, the application runs on a CPU, requiring approximately 30 seconds to process an HD image. Running the application on a GPU would significantly speed up inference, making the tool more efficient and user-friendly.
Hi @davidserra9 , we've assigned ZeroGPU to this Space. Please check the compatibility and usage sections of this page so your Space can run on ZeroGPU.
Thank you! The Space is now running on ZeroGPU.