Differender

July 22, 2021 ยท View on GitHub

Taichi-based Differentiable SciVis Renderer for PyTorch

Features & Status

  • Differentiable Rendering
    • Differentiating on transfer functions (TFs)
    • Backpropagation (BP) on transfer functions with a momentum optimizer
    • Differentiating and BP on volume
    • Advance loss for compensating high frequency signals
  • Direct Volume Rendering
    • Ray jittering
  • Engineering
    • Advance data layout for speedup
    • Logging on TFs
    • PyTorch integration