TeRA : Rethinking Text-Guided Realistic 3D Avatar Generation
TeRA introduces a highly efficient two-stage 3D human generative framework that outperforms SDS-based models by training a text-controlled latent diffusion model within a structured latent space, enabling fast, photorealistic avatar generation and text-based partial customization.
ICCV 2025 Project Page Code