DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D
Data
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D
Data
We present DIRECT-3D, a diffusion-based 3D generative model for creating high-quality 3D assets (represented by Neural Radiance Fields) from text prompts. Unlike recent 3D generative models that rely on clean and well-aligned 3D data, limiting them to single or few-class generation, our model is directly trained on extensive noisy and …