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.
Are we ready for autonomous driving? the kitti vision benchmark suite.2012 IEEE Conference on Computer Vision and Pat- tern Recognition, pages 3354–3361, 2012
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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.