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Dong Gen

1 accepted papers

2026

AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer

ICLR 2026poster

The digital industry demands high-quality, diverse modular 3D assets, especially for user-generated content (UGC). In this work, we introduce AssetFormer, an autoregressive Transformer-based model designed to generate modular 3D assets from textual descriptions. Our pilot study leverages real-world…

Cited by 0SourcecodeScholar