127 citations · 175 across the 11 of their papers we have counts for
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cs.LG2019★ 16 cited
TorchGAN: A Flexible Framework for GAN Training and Evaluation
Avik Pal, Aniket Das
TorchGAN is a PyTorch based framework for writing succinct and comprehensible code for training and evaluation of Generative Adversarial Networks. The framework's modular design al…
cs.GR2019
RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction
Avik Pal
In this paper, we present RayTracer.jl, a renderer in Julia that is fully differentiable using source-to-source Automatic Differentiation (AD). This means that RayTracer not only r…