Run the following commands from the root/code/ (2dimageto3dmodel/code/) directory: python main.py --dataset cub --batch_size 16 --weights pretrained_weights_cub --save_results for the CUB Birds Dataset. python main.py --dataset p3d --batch_size 16 --weights pretrained_weights_p3d ...
git clone https://github.com/NVlabs/nvdiffrast.git pip install . ③执行根据图像生成3D模型的脚本 python test.py --name=model_name --epoch=20 --img_folder=./datasets/examples 运行后,会将./datasets/examples中的20张人脸图片生成20个obj3D模型文件 你也可以自己放照片进去来实时生成人脸模型 原始图...
Unity application to convert 2D sketches to 3D models which could be maneuvered around using hand gestures (to a position and orientation of choice) in a 3D scene. unityaugmented-realitymesh-generationleap-motionimmersiveinflationhand-gestures3d-scenegesture-control2d-to-3d2d-image3d-object-placement...
下载方式:https://github.com/Kaggle/kaggle-api kaggle competitions download -c image-matching-challenge-2022 train/*/calibration.csv image_id:图像文件名 camera_intrinsics:此图像的3X3 calibration矩阵K, 通过行索引将其展平为向量 rotation_matrix:此图像的3X3 rotation矩阵R, 通过行索引将其展平为向量 tran...
These models include a continuity loss term to improve 3D volume translation when only 2D images are available. (d) Image volumes are predicted using the trained model. The volumes are synthesized by passing x–y image slices through the network independently to create the sequence of predicted ...
shape_embedding = self.encoder(RGB_image) # Decoder takes the encoded values and output # multiples 2D projection (XYZ + mask) XYZ, maskLogit = self.decoder(shape_embedding) return XYZ, maskLogit 点云融合 将预测得到的 2D 投影融合到原生 3D 点云数据中。这是有可能实现的,因为这些预测值的视角...
下载方式:https://github.com/Kaggle/kaggle-apikaggle competitions download -c image-matching-challenge-2022 train/*/calibration.csv image_id:图像文件名 camera_intrinsics:此图像的3X3 calibration矩阵K, 通过行索引将其展平为向量 rotation_matrix:此图像的3X3 rotation矩阵R, 通过行索引将其展平为向量 ...
项目地址:https://github.com/akanazawa/hmr HMR是一个依托2D的RGB图像经过模型推理后能得到一个3D关键点和人体蒙皮的模型,如下图: 图1 HMR DEMO 其本质可以理解为: 输入一张图片,经过模型1(HMR)得到3D关键点和一些其他参数;再将模型1的部分输出送入模型2(SMPL)得到3D蒙皮。
IT之家10 月 5 日消息,科技媒体 venturebeat 昨日(10 月 4 日)发布博文,报道称苹果 AI 科研团队发布了名为 Depth Pro 的全新 AI 模型,不需要传统相机数据预测,能够在几分之一秒内从单张 2D 图像生成详细的 3D 深度图。 该论文标题为《Depth Pro: Sharp Monocular Metric Depth in Less Than a Second》,...
使用create_test_image_3d创建40个尺寸不同的3D images和对应的labels. print(f"generating synthetic data to {root_dir} (this may take a while)") for i in range(40): # make the input volumes different spatial shapes for demo purposes