Popular GitHub Repositories for Subsurface Scattering

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Feature Scattering Adversarial Training (NeurIPS19)

swissgeol.ch 提供瑞士地质数据，涵盖地表及地下信息。

Scattering GCN: overcoming oversmoothness in graph convolutional networks

Our project revolutionizes seismic image interpretation with advanced deep learning, using Convolutional Neural Networks (CNNs) to automate workflows and improve accuracy in subsurface exploration. Trained on synthetic seismic data from coal mines, our algorithm excels in identifying faults, folds, and flat layers.

Machine Learning Models of Lewis Fm.

WideResNet implementation on MNIST dataset. FGSM and PGD adversarial attacks on standard training, PGD adversarial training, and Feature Scattering adversarial training.

Fast map-based emulator for augmentation of inhomogeneous maps on the HEALPix sphere.

Project page for paper "Inverse Rendering of Translucent Obects with Shape-adaptive Importance Sampling" (PG 2024)