Block3D Reduces Text-to-3D Inference Cost via Block-Wise Diffusion
August 19, 2026
Block3D partitions discrete shape-token sequences into contiguous blocks, generating them autoregressively while jointly denoising all tokens within the current block. This approach aims to maintain high geometric fidelity while reducing the high computational costs of global diffusion models.
HOW THIS AFFECTS YOU
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builderYou can achieve higher fidelity 3D generation with lower inference overhead.
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researcherThis method addresses the error accumulation trade-off in autoregressive 3D decoding.