Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models CVPR 2023 Jiale Xu1,3, Xintao Wang1, Weihao Cheng1, Yan-Pei Cao1, Ying Shan1, Xiaohu Qie2, Shenghua Gao3,4,5
DiffRF is a denoising diffusion probabilistic model directly operating on 3D radiance fields and trained with an additional volumetric rendering loss. This enables learning strong radiance priors with high rendering quality and accurate geometry. We introduce DiffRF, a novel approach for 3D radiance field synthesis based on denoising diffusion probabilistic models. While existing diffusion-based m
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