Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation

Improved techniques for training gans

Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016

Earlier work this paper cites.

Learning transferable visual models from natural language supervision

Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021

Earlier work this paper cites.

Dreamfusion: Text-to-3d using 2d diffusion

Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022

Earlier work this paper cites.

High-resolution image synthesis with latent diffusion models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022

Cited alongside, same era.

Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors

Original

Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, et al · 2023

Cited alongside, same era.

Mvdream: Multi-view diffusion for 3d generation

Original

Yichun Shi, Peng Wang, Jianglong Ye, Mai Long, Kejie Li, and Xiao Yang · 2023

Cited alongside, same era.

Zero-1-to-3: Zero-shot one image to 3d object

Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, and Carl Vondrick

Cited in the paper.

Syncdreamer: Generating multiview-consistent images from a single-view image

Original

Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, and Wenping Wang

Cited in the paper.

Viewset diffusion:(0-) image-conditioned 3d generative models from 2d data

Stanislaw Szymanowicz, Christian Rupprecht, and Andrea Vedaldi · 2023

Later among the works it cites.

Imagedream: Image-prompt multi-view diffusion for 3d generation

Original

Peng Wang and Yichun Shi · 2023

Later among the works it cites.