Dataset Groups Activity Stream LucidDreamer The dataset used in the paper is a text-to-3D generation framework, named the LucidDreamer, to distill high-fidelity textures and shapes from pretrained 2D diffusion models. BibTex: @dataset{Yixun_Liang_and_Xin_Yang_and_Jiantao_Lin_and_Haodong_Li_and_Xiaogang_Xu_and_Yingcong_Chen_2024, abstract = {The dataset used in the paper is a text-to-3D generation framework, named the LucidDreamer, to distill high-fidelity textures and shapes from pretrained 2D diffusion models.}, author = {Yixun Liang and Xin Yang and Jiantao Lin and Haodong Li and Xiaogang Xu and Yingcong Chen}, doi = {10.57702/ipovrmhr}, institution = {No Organization}, keyword = {'3D reconstruction', 'diffusion models', 'text-to-3D'}, month = {dec}, publisher = {TIB}, title = {LucidDreamer}, url = {https://service.tib.eu/ldmservice/dataset/luciddreamer}, year = {2024} }
