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Predicting dynamic trajectories of pixels + surface normals under test action sequences #4

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yamins81 opened this issue Apr 25, 2016 · 2 comments

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@yamins81
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yamins81 commented Apr 25, 2016

with and without access to the action sequence input itself

@yamins81
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(1) how far into the future? [measured in frames
(2) using how much information about the past? [measured in frames]

@doug
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doug commented Apr 28, 2016

Instead. Let's start with surface normals as input, plus action and time and predict surface normal frame at timestep away. Thus learning a control nob for time.

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