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EMERGE: Resolution-Agnostic Point Cloud Generation with Equivariant Graph-Based Diffusion
Point cloud generation has emerged as a crucial task for accurately capturing and reproducing the complexity of the physical world. However, existing generative approaches, predominantly relying on Transformers and Variational Autoencoders (VAEs), frequently ignore the continuous, non-grid topologie
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