Problem

COMPLETELY MISSING: 3D understanding, point cloud processing, and novel view synthesis.

Missing Implementations

Point Cloud Processing (CRITICAL):

• PointNet (direct point cloud processing)
• PointNet++ (hierarchical feature learning)
• DGCNN (Dynamic Graph CNN for point clouds)

3D Representation (CRITICAL):

• NeRF (Neural Radiance Fields)
• Instant-NGP (fast NeRF)
• 3D Gaussian Splatting (new SOTA)

Tasks (HIGH):

• Point cloud classification
• Point cloud segmentation
• 3D object detection
• Novel view synthesis

Use Cases

• Autonomous driving (LIDAR)
• Robotics
• AR/VR
• 3D reconstruction

Architecture

• src/PointCloud/
• src/NeuralRadianceFields/
• Integration with existing vision models

Success Criteria

• ModelNet40, ShapeNet benchmarks
• Real-time rendering (Gaussian Splatting)
• PSNR/SSIM metrics for NeRF