Now showing items 1-2 of 2

    • Learning Sample-Based Monte Carlo Denoising from Noisy Training Data 

      Tinits, Andrew (University of Waterloo, 2022-02-15)
      Monte Carlo rendering allows for the production of high-quality photorealistic images of 3D scenes. However, producing noise-free images can take a considerable amount of compute resources. To lessen this burden and speed ...
    • Using Least Squares to Construct Improved Clough-Tocher Interpolant 

      Fang, Xiang (University of Waterloo, 2018-01-08)
      In this thesis, a quartic Clough-Tocher interpolation scheme is introduced, and additional modifications, to adjust the macro-boundary and the order of continuity across domain triangles, are provided to improve both the ...

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