Applicability of BTC3D to Other 3D Generation Paradigms

Evaluate the applicability of Blended Tile Conditioning for image-to-3D generation to 3D generation paradigms beyond flow-matching-based native 3D diffusion pipelines, including the TRELLIS family.

Background

Blended Tile Conditioning is validated primarily on flow-matching-based native 3D diffusion pipelines, such as TRELLIS, TRELLIS.2, and Hunyuan3D-2.1. The framework combines global and tiled DINO-based image features during inference to improve fine-grained texture preservation. Its effectiveness and generality for other types of 3D generation systems have not been established, leaving cross-paradigm applicability as an unresolved evaluation problem.

References

The framework is validated primarily on flow-matching-based native 3D diffusion pipelines (e.g., the TRELLIS family), and its applicability to other 3D generation paradigms remains to be evaluated.

— BTC3D: Blended Tile Conditioning for Detail-Enhancing Image-to-3D Generation  (2609.39709 - Li et al., 30 Sep 2026) in Appendix, Section Statements, Limitations