Sparc3D: Sparse Representation and Construction for High-Resolution 3DShapes Modeling

Neural Information Processing Systems 

High-fidelity 3D object synthesis remains significantly more challenging than 2D image generation due to the unstructured nature of mesh data and the cubic complexity of dense volumetric grids. Existing two-stage pipelines--compressing meshes with a VAE (using either 2D or 3D supervision), followed by latent diffusion sampling--often suffer from severe detail loss caused by inefficient representations and modality mismatches introduced in VAE.

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