Assuming these are slices through an AMR simulation, you could try manually plotting the images using matplotlib's imshow command:

https://matplotlib.org/devdocs/api/_as_gen/matplotlib.axes.Axes.imshow.html#matplotlib-axes-axes-imshow

In particular experimenting with the "interpolation" keyword argument. By default, yt uses "interpolation='nearest'" (see https://github.com/yt-project/yt/blob/master/yt/visualization/base_plot_types.py#L218) as this is the "truest" representation of voxelized data in a pixelized representation.

You can see how different interpolation choices look in this example in the matplotlib docs: 

https://matplotlib.org/examples/images_contours_and_fields/interpolation_methods.html

This choice to use "interpolation='nearest'" in SlicePlot was intentional and I don't think we want to expose the ability to customize the interpolation, but of course you can create your own visualizations outside of SlicePlot using a FixedResolutionBuffer and the manual plotting interface.

On Tue, May 30, 2017 at 9:34 AM, Matthew Turk <matthewturk@gmail.com> wrote:
Hi Tazkera,

There's not, unfortunately.  We have experimented with this in the
past, but the results weren't ever satisfactory.  You might try a very
thin slice with an off-axis projection, which may accomplish the same
result.

-Matt

On Tue, May 30, 2017 at 12:06 AM, tazkera haque <h.tazkera@gmail.com> wrote:
> Hi People,
>
> I was wondering if yt can produce smooth images of zoomed-in sliceplots,
> where the pixelated AMR grids are not clearly visible. I was interested to
> see the colors get mixed in smoothly (something like tetrahedralization), is
> that possible anyway in yt?
>
> Best
> Tazkera
>
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