Face Model
68 papers with code • 0 benchmarks • 5 datasets
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Use these libraries to find Face Model models and implementationsLatest papers with no code
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow
Because such methods are expensive and due to the widespread availability of 2D videos, recent methods have focused on how to perform monocular 3D face tracking.
Learning a Generalized Physical Face Model From Data
Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-collisions, respond to external forces and perform realistic anatomy edits.
Green Runner: A tool for efficient deep learning component selection
For software that relies on machine-learned functionality, model selection is key to finding the right model for the task with desired performance characteristics.
An Implicit Physical Face Model Driven by Expression and Style
At the core, we present a framework for learning implicit physics-based actuations for multiple subjects simultaneously, trained on a few arbitrary performance capture sequences from a small set of identities.
Partition-based Nonrigid Registration for 3D Face Model
This paper presents a partition-based surface registration for 3D morphable model(3DMM).
INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields
We propose INFAMOUS-NeRF, an implicit morphable face model that introduces hypernetworks to NeRF to improve the representation power in the presence of many training subjects.
Anatomically Constrained Implicit Face Models
Actor specific anatomically constrained face models are the state of the art in both facial performance capture and performance retargeting.
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance
Our proposed GSmoothFace model mainly consists of the Audio to Expression Prediction (A2EP) module and the Target Adaptive Face Translation (TAFT) module.
Robust Geometry and Reflectance Disentanglement for 3D Face Reconstruction from Sparse-view Images
This paper presents a novel two-stage approach for reconstructing human faces from sparse-view images, a task made challenging by the unique geometry and complex skin reflectance of each individual.
FAAC: Facial Animation Generation with Anchor Frame and Conditional Control for Superior Fidelity and Editability
Our method's efficacy has been validated on multiple representative DreamBooth and LoRA models, delivering substantial improvements over the original outcomes in terms of facial fidelity, text-to-image editability, and video motion.