Details

RGB2Point is a deep learning project that generates 3D point clouds from 2D RGB images. Using a convolutional neural network (CNN) architecture, the model predicts 1024 3D points per object, enabling reconstruction of real-world shapes from images. The project includes dataset preparation (Pix3D), model training, point cloud visualization, and evaluation on both real-world and synthetic data. RGB2Point is designed for applications like robotics, AR/VR, and 3D object recognition.