Run the following commands to install necessary dependencies. conda create -n ns3d python=3.7.11. conda activate ns3d. pip install -r requirements.txt. Install Jacinle. git clone https://github.com/vacancy/Jacinle --recursive. export PATH= <path_to_jacinle> /bin: $PATH. Install the referit3d python package from ReferIt3D.

2023年3月23日 · To address these challenges, we propose NS3D, a neuro-symbolic framework for 3D grounding. NS3D translates language into programs with hierarchical structures by leveraging large language-to-code models.

To this end, we propose NS3D as a powerful neuro-symbolic approach to solve 3D visual reasoning tasks, with more faithful grounding of 3D objects and relations. NS3D first parses the referring expression from the free language form to a neuro-symbolic program form.

2019年10月21日 · 理由很单纯，裸眼3D在3ds推出时是一个未来可期有潜力的项目，但NS时已经完全失败了。

2018年3月31日 · ns-3是一个开源的、基于c++语言编写的网络仿真框架，它是从ns-2发展而来的，相较于ns-2，在性能、效率和扩展性等方面都有很大的提升。ns-3提供了大量的网络设备模型和协议实现，用户可以基于这些模型和 【

2018年11月21日 · Medical three-dimensional (3D) printing has expanded dramatically over the past three decades with growth in both facility adoption and the variety of medical applications. Consideration for each step required to create accurate 3D printed models from medical imaging data impacts patient care and management.

Here I present an interesting example of reconstructing flow field of 2D unsteady flow past a circular cylinder at Re=3900. As you can see, PINNs can reconstruct the wake flow with only 36 measurement points available.

2019年11月12日 · I'd play the hell out of Dutch lines if they weren't so damn complicated to install. I wish there were some routes for sale, without having to piece together 30 DLC just to get a …

In principle, ns-3 does support 3D mobility since the mobility vectors are 3D (X, Y, Z), however there is no 'PositionAllocator' implemented for that. Contributions are welcome. A simple solution is to extend this GridPositionAllocator which assumes Z=0 and add the 3rd dimension with corresponding MinZ, DeltaZ.

To address these challenges, we propose NS3D, a neuro-symbolic framework for 3D grounding. NS3D translates language into programs with hierarchical structures by leveraging large language-to-code models. Different functional modules in the programs are implemented as neural networks.