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DeepLens is a differentiable optical lens simulator developed for:

1. Differentiable optical design
2. End-to-end optics-vision co-design
3. Photorealistic image simulation

DeepLens helps researchers build custom differentiable optical systems and computational imaging pipelines with minimal effort.

Note

This documentation is still under development. Some details may contain mistakes or be incomplete. We appreciate your patience and welcome any feedback or corrections.

Mission

1. Next-generation optical design software enhanced by differentiable optimization
2. Next-generation computational cameras integrating optical encoding with deep learning decoding

Key Features

• Differentiable Optics: Leverages gradient backpropagation and differentiable optimization
• Automated Lens Design: Enables automated lens design using curriculum learning and GPU acceleration
• Hybrid Refractive-Diffractive Optics: Accurate simulation of hybrid lenses (DOEs, metasurfaces)
• Accurate Image Simulation: Photorealistic, spatially-varying image simulations
• Optics-Vision Co-Design: End-to-end differentiability from optics to vision algorithms