Name | Dex1B JSON |
Version |
0.0.4
JSON |
| download |
home_page | None |
Summary | MMDiT |
upload_time | 2025-08-09 14:52:46 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.9 |
license | MIT License
Copyright (c) 2025 Phil Wang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
keywords |
artificial intelligence
deep learning
dexterity
scaling
synthetic data
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
<img src="./fig3.png" width="400px"></img>
## Dex1B (wip)
## Citations
```bibtex
@inproceedings{ye2025dex1b,
title = {Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation},
author = {Ye, Jianglong and Wang, Keyi and Yuan, Chengjing and Yang, Ruihan and Li, Yiquan and Zhu, Jiyue and Qin, Yuzhe and Zou, Xueyan and Wang, Xiaolong},
booktitle = {Robotics: Science and Systems (RSS)},
year = {2025}
}
```
```bibtex
@misc{wu2024pointtransformerv3simpler,
title = {Point Transformer V3: Simpler, Faster, Stronger},
author = {Xiaoyang Wu and Li Jiang and Peng-Shuai Wang and Zhijian Liu and Xihui Liu and Yu Qiao and Wanli Ouyang and Tong He and Hengshuang Zhao},
year = {2024},
eprint = {2312.10035},
archivePrefix = {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/2312.10035},
}
```
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