MegaParts: Scaling Part-Aware 3D Object Generation to 300 Parts via Token-Efficient Autoregressive Modeling

MegaParts scales part-aware 3D generation to objects with up to 300 parts and 256k-token sequences via a token-efficient vector-quantized shape tokenizer and a unified LLM that emits object boxes, part boxes, and part shape tokens in one structured sequence. It outperforms diffusion and prior autoregressive baselines on mesh fidelity while keeping discrete part tokens compact.