Research Scientist at NVIDIA Toronto AI Lab, research member of Vector Institute.
Opinions are my own.
Dec 8, 2021 • 6 tweets • 5 min read
(1/6) Excited to share our #NVIDIAAI#NeurIPS2021 paper “EditGAN: High-Precision Semantic Image Editing” (nv-tlabs.github.io/editGAN/), achieving an unprecedented level of detail in GAN-based image editing!
w/ @karsten_kreis , @lidaiqing , @seungkim0123 , @abtorralba , @FidlerSanja
(2/6) EditGAN builds on a GAN framework that jointly models images and their semantic segmentation (nv-tlabs.github.io/datasetGAN/). Manually modifying segmentations is easy. This allows us to find editing vectors in latent space that enable high-precision image editing.
