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Found 7 papers, 4 papers with code
PFStorer: Personalized Face Restoration and Super-Resolution
In our approach a restoration model is personalized using a few images of the identity, leading to tailored restoration with respect to the identity while retaining fine-grained details.
Positive and negative sampling strategies for self-supervised learning on audio-video data
In Self-Supervised Learning (SSL), Audio-Visual Correspondence (AVC) is a popular task to learn deep audio and video features from large unlabeled datasets.
Self-supervised learning of audio representations using angular contrastive loss
To improve the discriminative ability of feature embeddings in SSL, we propose a new loss function called Angular Contrastive Loss (ACL), a linear combination of angular margin and contrastive loss.
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points
Image reenactment is a task where the target object in the source image imitates the motion represented in the driving image.
FACEGAN: Facial Attribute Controllable rEenactment GAN
However, if the identity differs, the driving facial structures leak to the output distorting the reenactment result.
ICface: Interpretable and Controllable Face Reenactment Using GANs
This paper presents a generic face animator that is able to control the pose and expressions of a given face image.
Learning image-to-image translation using paired and unpaired training samples
In this paper, we propose a new general purpose image-to-image translation model that is able to utilize both paired and unpaired training data simultaneously.
