Portrait Shadow Manipulation

Zhang, Xuaner Cecilia; Barron, Jonathan T.; Tsai, Yun-Ta; Pandey, Rohit; Zhang, Xiuming; Ng, Ren; Jacobs, David E.

doi:10.48550/arxiv.2005.08925

Cited by 1 publication

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…GAN inversion can be used to find directions for image manipulation, while preserving the identity and other attributes [21], [65]. However, there is also some tuning required to achieve the desired granularity of precise fine-grained control, e.g., gaze redirection [7], [231], [232], [233], relighting [234], [235], [236] and continuous view control [237]. These tasks require fine-grained control, i.e., 1 • of camera view or gaze direction.…”

Section: Scene Representation Gan Inversion Methodsmentioning

confidence: 99%

GAN Inversion: A Survey

Xia¹,

Zhang²,

Yang³

et al. 2021

Preprint

View full text Add to dashboard Cite

GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model, for the image to be faithfully reconstructed from the inverted code by the generator. As an emerging technique to bridge the real and fake image domains, GAN inversion plays an essential role in enabling the pretrained GAN models such as StyleGAN and BigGAN to be used for real image editing applications. Meanwhile, GAN inversion also provides insights on the interpretation of GAN's latent space and how the realistic images can be generated. In this paper, we provide an overview of GAN inversion with a focus on its recent algorithms and applications. We cover important techniques of GAN inversion and their applications to image restoration and image manipulation. We further elaborate on some trends and challenges for future directions. A curated list of GAN inversion methods, datasets, and other related information can be found at github.com/weihaox/awesome-gan-inversion.

show abstract