TeRA generates photorealistic 3D avatars from text in 12 seconds by training a latent diffusion model on a compact distilled latent space from a pretrained human reconstruction model.
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
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TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
TeRA generates photorealistic 3D avatars from text in 12 seconds by training a latent diffusion model on a compact distilled latent space from a pretrained human reconstruction model.