BTC3D: Blended Tile Conditioning for Detail-Enhancing Image-to-3D Generation
BTC3D is a training-free method to improve image-to-3D generation quality by addressing detail loss in diffusion models. It works by blending global and local conditioning signals derived from split image patches during inference. This technique preserves fine textures and visual fidelity without requiring any model retraining, making high-quality 3D asset creation more accessible.