Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis
Text-to-image synthesis has recently seen significant progress thanks to large pretrained
language models, large-scale training data, and the introduction of scalable model families …
language models, large-scale training data, and the introduction of scalable model families …
Stylesdf: High-resolution 3d-consistent image and geometry generation
We introduce a high resolution, 3D-consistent image and shape generation technique which
we call StyleSDF. Our method is trained on single view RGB data only, and stands on the …
we call StyleSDF. Our method is trained on single view RGB data only, and stands on the …
Hyperstyle: Stylegan inversion with hypernetworks for real image editing
The inversion of real images into StyleGAN's latent space is a well-studied problem.
Nevertheless, applying existing approaches to real-world scenarios remains an open …
Nevertheless, applying existing approaches to real-world scenarios remains an open …
Semanticstylegan: Learning compositional generative priors for controllable image synthesis and editing
Recent studies have shown that StyleGANs provide promising prior models for downstream
tasks on image synthesis and editing. However, since the latent codes of StyleGANs are …
tasks on image synthesis and editing. However, since the latent codes of StyleGANs are …
State‐of‐the‐Art in the Architecture, Methods and Applications of StyleGAN
Abstract Generative Adversarial Networks (GANs) have established themselves as a
prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study …
prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study …
Stylegan knows normal, depth, albedo, and more
Intrinsic images, in the original sense, are image-like maps of scene properties like depth,
normal, albedo, or shading. This paper demonstrates that StyleGAN can easily be induced …
normal, albedo, or shading. This paper demonstrates that StyleGAN can easily be induced …
Spatially-adaptive multilayer selection for gan inversion and editing
Existing GAN inversion and editing methods work well for aligned objects with a clean
background, such as portraits and animal faces, but often struggle for more difficult …
background, such as portraits and animal faces, but often struggle for more difficult …
Fine-grained face swap** via regional gan inversion
We present a novel paradigm for high-fidelity face swap** that faithfully preserves the
desired subtle geometry and texture details. We rethink face swap** from the perspective …
desired subtle geometry and texture details. We rethink face swap** from the perspective …
Linkgan: Linking gan latents to pixels for controllable image synthesis
This work presents an easy-to-use regularizer for GAN training, which helps explicitly link
some axes of the latent space to a set of pixels in the synthesized image. Establishing such …
some axes of the latent space to a set of pixels in the synthesized image. Establishing such …
Gan-based facial attribute manipulation
Facial Attribute Manipulation (FAM) aims to aesthetically modify a given face image to
render desired attributes, which has received significant attention due to its broad practical …
render desired attributes, which has received significant attention due to its broad practical …