From 937b51f93ad98d6ba563fbdf4307ecd7cffc1b24 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gordon=20Guocheng=20Qian=20=E9=92=B1=E5=9B=BD=E6=88=90?= Date: Wed, 14 Feb 2024 15:06:00 +0800 Subject: [PATCH] Update readme.md --- readme.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/readme.md b/readme.md index 6531563..52381a5 100644 --- a/readme.md +++ b/readme.md @@ -35,6 +35,7 @@ Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object # NEWS: +- [2024/01/16] Magic123 gets accepted to ICLR24 - [2023/07/25] Code is available at [GitHub](https://github.com/guochengqian/Magic123) - [2023/07/03] Paper is available at [arXiv](https://arxiv.org/abs/2306.17843) - [2023/06/25] Much better performance than the submitted version is achieved by 1）reimplementing Magic123 using [Stable DreamFusion code](https://github.com/ashawkey/stable-dreamfusion), 2）fixing some gradient issues, 3）leveraging the [tricks](#tips-and-tricks) @@ -309,10 +310,10 @@ We also get inspirations from a list of amazing research works and open-source p If you find this work useful, a citation will be appreciated via: ``` @inproceedings{ -qian2023magic123, +Magic123, title={Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors}, author={Qian, Guocheng and Mai, Jinjie and Hamdi, Abdullah and Ren, Jian and Siarohin, Aliaksandr and Li, Bing and Lee, Hsin-Ying and Skorokhodov, Ivan and Wonka, Peter and Tulyakov, Sergey and Ghanem, Bernard}, -booktitle={The Twelfth International Conference on Learning Representations}, +booktitle={The Twelfth International Conference on Learning Representations (ICLR)}, year={2024}, url={https://openreview.net/forum?id=0jHkUDyEO9} }