Showing cs.CVShow all
3 papers · 1 filter
cs.CV2023
BallGAN: 3D-aware Image Synthesis with a Spherical Background
Minjung Shin, Yunji Seo, Jeongmin Bae +4
3D-aware GANs aim to synthesize realistic 3D scenes such that they can be rendered in arbitrary perspectives to produce images. Although previous methods produce realistic images,…
cs.CV2022
3d human motion generation from the text via gesture action classification and the autoregressive model
Gwantae Kim, Youngsuk Ryu, Junyeop Lee +3
In this paper, a deep learning-based model for 3D human motion generation from the text is proposed via gesture action classification and an autoregressive model. The model focuses…
cs.CV2022
FurryGAN: High Quality Foreground-aware Image Synthesis
Jeongmin Bae, Mingi Kwon, Youngjung Uh
Foreground-aware image synthesis aims to generate images as well as their foreground masks. A common approach is to formulate an image as an masked blending of a foreground image a…