Nov 4, 2021 · We present OpenFWI, a collection of large-scale multi-structural benchmark datasets, to facilitate diversified, rigorous, and reproducible research on FWI.
Here, we present OPENFWI, the first large-scale collection of open-access multi-structural seismic. FWI datasets based on our knowledge. It contains 12 datasets ...
Sep 16, 2022 · We present an open-source platform for Full Waveform Inversion with twelve datasets and benchmarks on four deep learning methods.
The OPENFWI benchmarks are established upon four deep learning methods: InversionNet [9],. VelocityGAN [10], and UPFWI [11] for 2D and InversionNet3D [12] for ...
OpenFWI is a collection of large-scale, multi-structural benchmark datasets for machine learning driven seismic FWI. We release twelve datasets synthesized ...
Apr 3, 2024 · OpenFWI is a collection of large-scale, multi-structural benchmark datasets for machine learning driven seismic FWI. We release twelve datasets ...
OpenFWI is a collection of large-scale open-source benchmark datasets for seismic full waveform inversion (FWI).
An empirical study that investigates how deep learning models in FWI behave when trained on OpenFWI, a collection of large-scale, multi-structural, synthetic ...
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion · InversionNet: An Efficient and Accurate Data-Driven Full Waveform ...
Full waveform inversion (FWI) is widely used in geophysics to reconstruct high-resolution velocity maps from seismic data. The recent success of data-driven ...