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Independent Samples, Correlated Variance A Learnable Cross-View Cue in Path-Traced Stereo Data
Path-traced synthetic stereo is a primary training substrate for disparity networks, and the pipelines that consume it assume Monte~Carlo (MC) rendering noise is independent across the two views. The assumption is correct at the level it is stated---individual samples---but silent about the object a
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