Turbo3D: Ultra-fast Text-to-3D Generation
Authors: name: Hanzhe Hu, name: Tianwei Yin, name: Fujun Luan, name: Yiwei Hu, name: Hao Tan, name: Zexiang Xu, name: Sai Bi, name: Shubham Tulsiani, name: Kai Zhang

We present Turbo3D, an ultra-fast text-to-3D system capable of generating
high-quality Gaussian splatting assets in under one second. Turbo3D employs a
rapid 4-step, 4-view diffusion generator and an efficient feed-forward Gaussian
reconstructor, both operating in latent space. The 4-step, 4-view generator is
a student model distilled through a novel Dual-Teacher approach, which
encourages the student to learn view consistency from a multi-view teacher and
photo-realism from a single-view teacher. By shifting the Gaussian
reconstructor's inputs from pixel space to latent space, we eliminate the extra
image decoding time and halve the transformer sequence length for maximum
efficiency. Our method demonstrates superior 3D generation results compared to
previous baselines, while operating in a fraction of their runtime.