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git clone https://github.com/NikolaZubic/2dimageto3dmodel.git Open the project with Conda Environment (Python 3.7) Install packages: conda install pytorch torchvision torchaudio cudatoolkit=11.0 -c pytorch Then git clone Kaolin library in the root (2dimageto3dmodel) folder with the followingcommi...
export NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics#Default pyopengl to EGL for good headless rendering supportexport PYOPENGL_PLATFORM=egl cp docker/10_nvidia.json /usr/share/glvnd/egl_vendor.d/10_nvidia.json pip install--upgrade pip pip install ninja imageio imageio-ffmpeg pip install tri...
_tmp_pco_df["image_id_1"], _tmp_pco_df["image_id_2"] = zip(*_tmp_pco_df.pair.apply(lambda x: x.split("-"))) _tmp_pco_df["image_path_1"] = os.path.join(TRAIN_DIR, _s, "images")+"/"+_tmp_pco_df["image_id_1"]+".jpg" _tmp_pco_df["image_path_2"] = os.p...
主要创新点在于2D-to-3D Feature Transforms模块,细节如图描述,整个过程多层迭代Refine结果,并且每层输出的box都有Loss监督: Q: 如果只有2D-to-3D过程从image feature的稀疏sample与concat预测3D监督,那么如何使稠密的image feature学出有利于目标检测的2D视觉特征?
3D-to-3D image volume translation typically requires paired 3D training data, and consequently is only applicable in a limited number of contexts such as medical imaging42,43 where sufficient amounts of aligned 3D multimodal data is available. Multimodal imaging for source rock samples often contains...
Github主页：https://github.com/xmu-xiaoma666/X-Dreamer 论文地址：https://arxiv.org/abs/2312.00085 X-Dreamer 对 text-to-3D 生成领域做出了如下贡献:论文提出了一种新颖的方法，X-Dreamer，用于高质量的 text-to-3D 内容创建，有效地弥合了 text-to-2D 和 text-to-3D 生成之间的主要差距。为了增强...
WebGL (Web Graphics Library) is a JavaScript API for rendering high-performance interactive 3D and 2D graphics within any compatible web browser without the use of plug-ins. WebGL does so by introducing an API that closely conforms to OpenGL ES 2.0 that
本文介绍一篇来自KAUST、牛津大学VGG组和Snapchat合作完成的工作 Magic123(One Image to High-Quality 3D Object Generation using Both 2D and 3D diffusion Pirors)。Magic123是一个两阶段的从粗到细的3D生成框架,其提出同时使用2D和3D视觉先验来从单张图像进行三维重建,下图是Magic123与其他基线方法的生成效果对比...
Pytorch 代码:https://github.com/lkhphuc/pytorch-3d-point-cloud-generationTensorflow 代码:https://github.com/chenhsuanlin/3D-point-cloud-generation论文:https://arxiv.org/abs/1706.07036原始项目网站:https://chenhsuanlin.bitbucket.io/3D-point-cloud-generation/...