Eunah Jung

Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light

We propose the concept of a multi-frame GAN (MFGAN) and demonstrate its potential as an image sequence enhancement for stereo visual odometry in low light conditions. We base our method on an invertible adversarial network to transfer the beneficial features of brightly illuminated scenes to the seq