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Found 10 papers, 1 papers with code
Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures
We then train a conditional Neural Radiance Field prior on this synthetic dataset and, at inference time, fine-tune the model on a very sparse set of real images of a single subject.
Procedural Humans for Computer Vision
Recent work has shown the benefits of synthetic data for use in computer vision, with applications ranging from autonomous driving to face landmark detection and reconstruction.
Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Recent advances in synthesizing realistic faces have shown that synthetic training data can replace real data for various face-related computer vision tasks.
3D face reconstruction with dense landmarks
By fitting a morphable model to these dense landmarks, we achieve state-of-the-art results for monocular 3D face reconstruction in the wild.
Ranked #1 on
3D Face Reconstruction
on Florence
(RMSE Indoor metric)
Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing
We present systematic experiments showing how physiologically-grounded synthetic data can be used in training camera-based multi-parameter cardiopulmonary sensing.
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.
Ranked #2 on
Face Parsing
on Helen
(using extra training data)
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring.
A high fidelity synthetic face framework for computer vision
Analysis of faces is one of the core applications of computer vision, with tasks ranging from landmark alignment, head pose estimation, expression recognition, and face recognition among others.
GazeDirector: Fully Articulated Eye Gaze Redirection in Video
We present GazeDirector, a new approach for eye gaze redirection that uses model-fitting.
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Images of the eye are key in several computer vision problems, such as shape registration and gaze estimation.
