Avatarrex: Real-time expressive full-body avatars
We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …
data. The learnt avatar not only provides expressive control of the body, hands and the face …
Rethinking domain generalization for face anti-spoofing: Separability and alignment
This work studies the generalization issue of face anti-spoofing (FAS) models on domain
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
Instance-aware domain generalization for face anti-spoofing
Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
Deep learning for face anti-spoofing: A survey
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …
securing face recognition systems from presentation attacks (PAs). As more and more …
Flip: Cross-domain face anti-spoofing with language guidance
Face anti-spoofing (FAS) or presentation attack detection is an essential component of face
recognition systems deployed in security-critical applications. Existing FAS methods have …
recognition systems deployed in security-critical applications. Existing FAS methods have …
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing
Abstract Domain generalization (DG) based Face Anti-Spoofing (FAS) aims to improve the
model's performance on unseen domains. Existing methods either rely on domain labels to …
model's performance on unseen domains. Existing methods either rely on domain labels to …
Domain invariant vision transformer learning for face anti-spoofing
CH Liao, WC Chen, HT Liu, YR Yeh… - Proceedings of the …, 2023 - openaccess.thecvf.com
Existing face anti-spoofing (FAS) models have achieved high performance on specific
datasets. However, for the application of real-world systems, the FAS model should …
datasets. However, for the application of real-world systems, the FAS model should …
Towards unsupervised domain generalization for face anti-spoofing
Generalizable face anti-spoofing (FAS) based on domain generalization (DG) has gained
growing attention due to its robustness in real-world applications. However, these DG …
growing attention due to its robustness in real-world applications. However, these DG …
A sentence speaks a thousand images: Domain generalization through distilling clip with language guidance
Abstract Domain generalization studies the problem of training a model with samples from
several domains (or distributions) and then testing the model with samples from a new …
several domains (or distributions) and then testing the model with samples from a new …
Test-time domain generalization for face anti-spoofing
Abstract Face Anti-Spoofing (FAS) is pivotal in safeguarding facial recognition systems
against presentation attacks. While domain generalization (DG) methods have been …
against presentation attacks. While domain generalization (DG) methods have been …