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Version 1.5
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@Tom94 Tom94 released this 22 Apr 07:20
· 230 commits to master since this release
v1.5
be46066

Changes Since Last Release

  • Encodings and neural networks in tiny-cuda-nn now share the same generic API for differentiable objects. This simplifies implementations significantly.
    • As part of this generalization, encodings and neural networks can now take and produce row- and column-major matrices (i.e. both AoS and SoA data). Additionally, input data may be strided arbitrarily, which permits slicing of input matrices without copying.
  • Added GridEncoding support for double-backward, which is useful for e.g. eikonal supervision (courtesy of @ventusff).
  • Dropped the dependency on PyEXR / tinyexr in the sample applications (using imageio / stb_image instead).
  • Fixed many bug, added several performance improvements, and improved compatibility with older GPUs.

Contributors

ventusff
Assets 2