Diffusionrig: Learning personalized priors for facial appearance editing
We address the problem of learning person-specific facial priors from a small number (eg,
20) of portrait photos of the same person. This enables us to edit this specific person's facial …
20) of portrait photos of the same person. This enables us to edit this specific person's facial …
When stylegan meets stable diffusion: a w+ adapter for personalized image generation
Text-to-image diffusion models have remarkably excelled in producing diverse high-quality
and photo-realistic images. This advancement has spurred a growing interest in …
and photo-realistic images. This advancement has spurred a growing interest in …
Talk-to-edit: Fine-grained facial editing via dialog
Facial editing is an important task in vision and graphics with numerous applications.
However, existing works are incapable to deliver a continuous and fine-grained editing …
However, existing works are incapable to deliver a continuous and fine-grained editing …
Maskgan: Towards diverse and interactive facial image manipulation
Facial image manipulation has achieved great progress in recent years. However, previous
methods either operate on a predefined set of face attributes or leave users little freedom to …
methods either operate on a predefined set of face attributes or leave users little freedom to …
Mask-guided portrait editing with conditional gans
Portrait editing is a popular subject in photo manipulation. The Generative Adversarial
Network (GAN) advances the generating of realistic faces and allows more face editing. In …
Network (GAN) advances the generating of realistic faces and allows more face editing. In …
A latent transformer for disentangled face editing in images and videos
High quality facial image editing is a challenging problem in the movie post-production
industry, requiring a high degree of control and identity preservation. Previous works that …
industry, requiring a high degree of control and identity preservation. Previous works that …
Fitme: Deep photorealistic 3d morphable model avatars
In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …
Normalized avatar synthesis using stylegan and perceptual refinement
We introduce a highly robust GAN-based framework for digitizing a normalized 3D avatar of
a person from a single unconstrained photo. While the input image can be of a smiling …
a person from a single unconstrained photo. While the input image can be of a smiling …
Learning complete 3d morphable face models from images and videos
Most 3D face reconstruction methods rely on 3D morphable models, which disentangle the
space of facial deformations into identity and expression geometry, and skin reflectance …
space of facial deformations into identity and expression geometry, and skin reflectance …
Nerffaceediting: Disentangled face editing in neural radiance fields
Recent methods for synthesizing 3D-aware face images have achieved rapid development
thanks to neural radiance fields, allowing for high quality and fast inference speed. However …
thanks to neural radiance fields, allowing for high quality and fast inference speed. However …