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GANPaint Studio by MIT and IBM is an AI-powered platform that allows users to create and edit realistic photographic images.
GANPaint - Painting with Generative Models #GANPaint was released 2019 as one of the first tools to allow image editing with generative networks. #GANPaint draws with object-level control using a deep network. Each brush activates a set of neurons in a GAN that has learned to draw scenes. More information at gandissect.csail.mit.edu. Select a feature brush & strength and enjoy painting: ...
We argue that both the visual interface and model structure of deep learning systems need to take into account interaction design. We propose a framework of collaborative semantic inference (CSI) for the co-design of interactions and models to enable visual collaboration between humans and algorithms. The approach exposes the intermediate ...
We argue that both the visual interface and model structure of deep learning systems need to take into account interaction design. We propose a framework of collaborative semantic inference (CSI) for the co-design of interactions and models to enable visual collaboration between humans and algorithms. The approach exposes the intermediate ...
Sep 23, 2023 · FULL VIDEO: https://youtu.be/-I1rWC0TK88Ganpaint Studio, developed by MIT-IBM Watson Lab, allows for nuanced image edits using GANs. Experience the blend of ...
GANPaint Studio is a powerful tool developed by researchers from MIT CSAIL, IBM Research, and the MIT-IBM Watson AI Lab. This tool allows users to add, remove, and modify objects in images, providing a new level of creativity and control. By leveraging a neural network called a Generative Adversarial Network (GAN), GANPaint Studio can produce its own images of a specific category, such as kitchen or church images. ...
Jul 1, 2019 · GANpaint Studio could also be used to improve and debug other GANs that are being developed, by analyzing them for “artifact” units that need to be removed. In a world where opaque AI tools have made image manipulation easier than ever, it could help researchers better understand neural networks and their underlying structures.
The #GANpaint app works by directly activating and deactivating sets of neurons in a deep network trained to generate images. Each button on the left ("door", "brick", etc) corresponds to a set of 20 neurons. The app demonstrates that, by learning to draw, the network also learns about objects such as trees and doors and rooftops. By switching neurons directly, you can observe the structure of the visual world that the network has learned to model.
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Jul 1, 2019 · GANpaint Studio could also be used to improve and debug other GANs that are being developed, by analyzing them for “artifact” units that need to be removed. In a world where opaque AI tools have made image manipulation easier than ever, it could help researchers better understand neural networks and their underlying structures.
