Stars
A WebGPU-native out-of-core rendering system for large virtualized volumetric data.
Index and overview of neuroimaging datasets for visual perception reconstruction.
Differentiable wave optics using JAX! Documentation can be found at https://chromatix.readthedocs.io
Integrated Machine and Deep Learning for Optical Design
a 3D model of land-holding political entitities swept through time
Python - Exact ray tracing library
Neural Scene Representation in OpenUSD (Universal Scene Description)
High quality visualization for volumetric image data
Read and write Neuroglancer datasets programmatically.
A direct, pixel-level mapping from src to dst images via encoder-decoder. Supports, training, inference or export to VFX tools.
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
Differentiable geometric optics in PyTorch. Design optical systems with modern GPU optimization.
Generate LUT for film emulation based on film datasheets.
Spectral simulation of analog photography processes
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
[ICCP & TPAMI 2023] Official code for the paper "Aberration-Aware Depth-from-Focus"
Generate real world meshes in Houdini using the Google API.
For scientific volumetric data visualization in Blender.
The mdbook source of a free online book on the theory and algorithms of physics-based simulations. You are welcome to make contributions by submitting pull requests or directly contacting the authors.
Automated, smooth, N'th order derivatives of non-uniformly sampled time series data
Implements the SMPTE RIS OSVP camera metadata model
Python library for realistically degrading images.
The first Nuke solution capable of producing three-dimensional defocusing and aberration in front and behind the focus plane separately, similar to real optics.