Investigate training the generator with knowledge of adjacent B-scans
Opened this issue · 1 comments
savoie commented
Since the resulting OMAGs get combined into an en-face image, it follows that the capillary cross-sections should smoothly connect, so the position of the capillaries in adjacent B-scans could provide insight into the correct position and scaling of the capillaries in the current B-scan.
Consider looking into techniques like the following paper uses to ensure "temporal smoothing" (ensuring that generated video frames flow smoothly into each other).
https://arxiv.org/pdf/1808.07371.pdf
This issue additionally requires:
- Clean up the code to parameterize the number of input channels
- Figure out #21 to determine whether the results are an improvement
pl3li commented
Is this related to tempoGAN: A Temporally Coherent, Volumetric GAN forSuper-resolution Fluid Flow
(https://arxiv.org/pdf/1801.09710.pdf) or completely separate?