Face Model
68 papers with code • 0 benchmarks • 5 datasets
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LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example
To this end, we propose a method that can produce a highly stylized 3D face model with desired topology.
ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations
Accurate representations of 3D faces are of paramount importance in various computer vision and graphics applications.
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
We introduce GaussianAvatars, a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint.
A survey and classification of face alignment methods based on face models
Face alignment is the process of fitting the landmarks in a face model to the respective ground truth positions in an input image containing a face.
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation
To improve diagnostic accuracy, we propose a CXR report generator that integrates aspects of the radiologist workflow and is trained with our proposed reward for reinforcement learning.
High-Fidelity 3D Face Generation from Natural Language Descriptions
Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence.
Towards Realistic Generative 3D Face Models
By combining 2D face generative models with semantic face manipulation, this method enables editing of detailed 3D rendered faces.
Learning a 3D Morphable Face Reflectance Model from Low-cost Data
This paper proposes the first 3D morphable face reflectance model with spatially varying BRDF using only low-cost publicly-available data.
Instant Volumetric Head Avatars
In addition, it allows for the interactive rendering of novel poses and expressions.
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
We propose a novel 3D GAN framework for unsupervised learning of generative, high-quality and 3D-consistent facial avatars from unstructured 2D images.