https://ar5iv.labs.arxiv.org/html/2108.13865
[2108.13865] InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images
In this paper, we present InSeGAN, an unsupervised 3D generative adversarial network (GAN) for segmenting (nearly) identical instances of rigid objects in...