DreamDissector: Learning Disentangled Text-to-3D Generation from 2D
Diffusion Priors

DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors

23 July 2024

Guanying Chen

Papers citing "DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors"

7 / 7 papers shown

Title
DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer Runjia Li Junlin Han Luke Melas-Kyriazi Chunyi Sun Zhaochong An Zhongrui Gui Shuyang Sun Philip Torr Tomas Jakab 28 1 0 12 Sep 2024
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes Dana Cohen-Bar Elad Richardson G. Metzer Raja Giryes Daniel Cohen-Or 63 52 0 23 Mar 2023
RealFusion: 360° Reconstruction of Any Object from a Single Image Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi 85 288 0 21 Feb 2023
Text2Mesh: Text-Driven Neural Stylization for Meshes O. Michel Roi Bar-On Richard Liu Sagie Benaim Rana Hanocka CLIP AI4CE 175 350 0 06 Dec 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 164 711 0 02 Mar 2021
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering Yuxuan Zhang Wenzheng Chen Huan Ling Jun Gao Yinan Zhang Antonio Torralba Sanja Fidler DRL 93 138 0 18 Oct 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 161 1,926 0 24 Oct 2016