2025
Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization
ICCV 2025poster
Many 3D generative models rely on variational autoencoders (VAEs) to learn compact shape representations. However, existing methods encode all shapes into a fixed-size token, disregarding the inherent variations in scale and complexity across 3D data. This leads to inefficient latent representations…