Learning for 3D Vision

● Created and trained deep neural net to predict 3D point cloud of an object from single image with an accuracy of 87%

● Synthesized 3D visualization from multi view images of an object using Neural Radiance Fields (NeRF)

● Trained and evaluated PointNet architecture for classification and segmentation of point clouds

● Link to project webpage (Link 🔗)