Class-specific DDPM In **Denoising Diffusion Probabilistic Models (DDPMs)**, conditioning the input with class-specific information is a common practice to guide the model in generating samples from a specific category. The most widely used techniques for class conditioning include:### **1. Class Embedding via Concatenation** - The class label is first converted into an embedding vector (e.g., using an **embeddin.. 더보기 Rendering a 3D scene given 3D coordinate points using open3D import open3d as o3dimport numpy as np# Function to create a vehicle bounding boxdef create_vehicle_bbox(center, size, color=[0, 0, 1]): """Create a vehicle bounding box in Open3D.""" bbox = o3d.geometry.OrientedBoundingBox(center=center, R=np.eye(3), extent=size) bbox.color = color # Blue for vehicles return bbox# Function to create road lines (HD map elements)def create_map_lines(.. 더보기 [Pytorch] Inputting specified model parameters to optimizer params_to_optimize = [param for name, param in self.model.named_parameters() if self.check_name_validity(TRAIN_WEIGHT_LIST, name)]self.opt = optim.AdamW(params_to_optimize, lr=config['lr'], weight_decay=config['w_decay']) 더보기 이전 1 2 3 4 5 6 ··· 69 다음