Using 3D Gaussian Splatting renderings with FoundationStereo pseudo-depth labels produces synthetic stereo training data that transfers to real-world zero-shot benchmarks as well as or better than prior NeRF-based methods.
Barron, Ben Mildenhall, Dor Verbin, Pratul P
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer
Using 3D Gaussian Splatting renderings with FoundationStereo pseudo-depth labels produces synthetic stereo training data that transfers to real-world zero-shot benchmarks as well as or better than prior NeRF-based methods.