Jun 28, 2020 · We develop predictive and generative deep convolutional neural networks to replicate this feat.
We develop predictive and generative deep convolutional neural networks to replicate this feat. Specifically, our work focuses on functionalities of man-made 3D ...
In this work, we develop predictive and generative deep convolutional neural networks to replicate this feat. PGDNN consist of three networks: funcitonal ...
We develop predictive and generative deep convolutional neural networks to replicate this feat. Specifically, our work focuses on functionalities of man-made 3D ...
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The key is to infer object functionalities by learning functional similarities via a novel triplet network and predicting interaction contexts for a single 3D ...
Jul 30, 2018 · This paper proposes a learning-from-interaction framework with an online data sampling strategy that allows to train the network in ...
Pose invariance. We investigate if the neural network can be made invariant to the pose of the input objects, when predicting their functionality.
Oct 3, 2023 · Generative AI is designed to come up with new ideas. This makes the AI tools especially useful for creative tasks or when trying to develop new solutions.
Find out the inner workings and distinctions of how Generative AIs vs Predictive AIs, along with a deep dive into their use cases.
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Jul 16, 2024 · While generative AI excels at creating new content, predictive AI shines in forecasting future outcomes. Both have unique strengths and cater to different use ...
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