Papers for OpenFWI Datasets

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Note: The datasets used in previous papers may be different, we unify the parameters (data shape, forward modelling, training, etc.) of official OpenFWI datasets.

• OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion

  Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

• InversionNet: An Efficient and Accurate Data-Driven Full Waveform Inversion

  Yue Wu, Youzuo Lin

• VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks

  Zhongping Zhang, Yue Wu, Zheng Zhou, Youzuo Lin

• InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion

  Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin

• Multiscale Data-driven Seismic Full-waveform Inversion with Field Data Study

  Shihang Feng, Youzuo Lin, Brendt Wohlberg

• Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop

  Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin

• An Intriguing Property of Geophysics Inversion

  Yinan Feng, Yinpeng Chen, Shihang Feng, Peng Jin, Zicheng Liu, Youzuo Lin

• Physics-Guided Data-Driven Seismic Inversion: Recent Progress and Future Opportunities in Full Waveform Inversion

  Youzuo Lin, James Theiler, Brendt Wohlberg

• Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation

  Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg