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Bridging the Sim-to-Real Gap in 3D Structured Light Vision with Physics-Based Ray Tracing

The Problem with Geometric Z-Buffers

Standard depth-map generators output perfect geometric distances. However, real-world 3D vision relies on phase-shifting optical projections.

To solve this, ForgeOptics — a high-performance 3D structured light simulator specifically for computer vision researchers and robotics engineers.
Instead of generating ideal depth maps, ForgeOptics simulates the entire physical phase-shifting optical process:

  • Projecting sinusoidal fringe patterns
  • Path-tracing PBR surface reflections and scattering
  • Decoding phase shifts into ground-truth 32-bit floating-point depth maps Check out the full workflow below—covering GUI parameter tuning, Sigmoid sensor noise injection, and dataset generation:

Key Capabilities at a Glance |
1) High-Performance Ray-Tracing Engine, Built natively in Rust and powered by LuisaRender for fast, denoised, near-real-time previews and rapid dataset generation.

2) Dual Interactive & Automated Workflows

  • Interactive GUI Mode: Visually import 3D meshes (.obj, .glb, .gltf, .stl), edit PBR materials on the fly, adjust projector frequency, and configure instance segmentation IDs.
  • Headless CLI Mode: Every GUI parameter—projector, camera, lighting, and materials—is fully exposed in JSON format for automated background execution and batch dataset generation.

3) Real-World Degradation & Point Cloud Verification
Introduce custom Sigmoid sensor noise in camera settings to simulate physical hardware degradation.
Directly export reconstructed 3D PLY point cloud data, 32-bit floating-point depth maps, and exact camera intrinsic matrices for immediate downstream processing.

Try the Free Sample Dataset

Before buying or deploying, you can download and inspect free sample datasets containing full 32-bit depth maps, PLY point clouds, and camera intrinsics:
💾 Free Sample Dataset on GitHub: ForgeOptics GitHub Repository

🤗 Hugging Face Dataset Hub: ForgeOptics Structured Light Samples

Commercial Licensing & Downloads

Ready to automate synthetic dataset generation for your AI training pipeline or 3D vision algorithms?

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