IEEE

Geometric Autoencoder with Manifold Learning

Abstract: Autoencoders are widely recognized as non-probabilistic learning models for extracting useful information from data. Most autoencoder models assume a Euclidean geometry for the underlying ...
GitHub

Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes

This repository contains the official code for training and converting videos with the face-swapping autoencoders from aforementioned publication. The code provides a light python package, which can ...
GitHub

goal-autoencoder

PyTorch reimplementation of "Deep Hierarchical Planning" RL framework. Features a multi-model architecture with manager-worker policies, world model, and goal autoencoder. Built with Python/PyTorch ...
IEEE

Contrastive Semantic-Aware Masked Autoencoder for Point Cloud Self-Supervised Learning

Abstract: Masked Autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level ...