High-fidelity generalized emotional talking face generation with multi-modal emotion space learning
Recently, emotional talking face generation has received considerable attention. However,
existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus …
existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus …
Hyperreenact: one-shot reenactment via jointly learning to refine and retarget faces
In this paper, we present our method for neural face reenactment, called HyperReenact, that
aims to generate realistic talking head images of a source identity, driven by a target facial …
aims to generate realistic talking head images of a source identity, driven by a target facial …
Portraitbooth: A versatile portrait model for fast identity-preserved personalization
Recent advancements in personalized image generation using diffusion models have been
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …
Blendface: Re-designing identity encoders for face-swap**
The great advancements of generative adversarial networks and face recognition models in
computer vision have made it possible to swap identities on images from single sources …
computer vision have made it possible to swap identities on images from single sources …
Face-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control
Current face reenactment and swap** methods mainly rely on GAN frameworks, but
recent focus has shifted to pre-trained diffusion models for their superior generation …
recent focus has shifted to pre-trained diffusion models for their superior generation …
Talking head generation with probabilistic audio-to-visual diffusion priors
We introduce a novel framework for one-shot audio-driven talking head generation. Unlike
prior works that require additional driving sources for controlled synthesis in a deterministic …
prior works that require additional driving sources for controlled synthesis in a deterministic …
[HTML][HTML] Video and audio deepfake datasets and open issues in deepfake technology: being ahead of the curve
Z Akhtar, TL Pendyala, VS Athmakuri - Forensic Sciences, 2024 - mdpi.com
The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …
extensively being harnessed across a diverse range of domains, eg, forensic science …
Towards a simultaneous and granular identity-expression control in personalized face generation
R Liu, B Ma, W Zhang, Z Hu, C Fan… - Proceedings of the …, 2024 - openaccess.thecvf.com
In human-centric content generation the pre-trained text-to-image models struggle to
produce user-wanted portrait images which retain the identity of individuals while exhibiting …
produce user-wanted portrait images which retain the identity of individuals while exhibiting …
Df40: Toward next-generation deepfake detection
We propose a new comprehensive benchmark to revolutionize the current deepfake
detection field to the next generation. Predominantly, existing works identify top-notch …
detection field to the next generation. Predominantly, existing works identify top-notch …