├── assets
└── teaser.png
├── LICENSE
└── README.md
/assets/teaser.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/cupid3d/Cupid/HEAD/assets/teaser.png
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2025 cupid3d
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | CUPID: Generative 3D Reconstruction via Joint Object and Pose Modeling
2 |
3 |
4 |
5 | [](https://arxiv.org/abs/2510.20776)
6 | [](https://cupid3d.github.io/)
7 |
8 |
9 |
12 |
13 |
TL;DR: Create canonically posed 3D objects and object-centric cameras from any images in a few forward steps.
14 |
16 |
17 | 
18 |
19 | Results for generative 3D reconstruction from a single test image. Given an input image (top left), CUPID estimates camera pose (bottom left) and reconstructs a 3D model (bottom right), re-rendering the input (top right). It is robust to changes in scale, placement, and lighting while preserving fine texture, and supports component-aligned scene reconstruction (bottom row). All results are produced in seconds via feed-forward sampling of the learned model. See cupid3d.github.io for an immersive view of the interactive 3D results.
20 |
21 |
22 | ## 🚧 Code
23 |
24 | The code is currently under development and is expected to be released by January 2026. For progress updates and the official release, please check the project website or the GitHub repository.
25 |
26 | ## Citation
27 |
28 | If you want to cite our work, please use:
29 |
30 | ```bibtex
31 | @article{huang2025cupid,
32 | title={CUPID: Generative 3D Reconstruction via Joint Object and Pose Modeling},
33 | author={Huang, Binbin and Duan, Haobin and Zhao, Yiqun and Zhao, Zibo and Ma, Yi and Gao, Shenghua},
34 | journal={arXiv preprint arXiv:2510.20776},
35 | year={2025}
36 | }
37 | ```
--------------------------------------------------------------------------------