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Found 2 papers, 1 papers with code
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
It is not only the first RGB-D dataset that is captured with a now widely available depth sensor, but to our best knowledge, it also is the largest indoor scene understanding data released.
GMM-Based Generative Adversarial Encoder Learning
We model the output of the encoder latent space via a GMM, which leads to both good clustering using this latent space and improved image generation by the GAN.
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