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Found 5 papers, 0 papers with code
iEdit: Localised Text-guided Image Editing with Weak Supervision
We propose a novel learning method for text-guided image editing, namely \texttt{iEdit}, that generates images conditioned on a source image and a textual edit prompt.
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation
Recently, hierarchical networks that consist of both a global network dealing with the whole image and multiple local networks focusing on local parts are showing success.
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
We utilise this dataset to minimise the novel depth consistency loss via adversarial learning (note we do not have ground truth depth maps for generated face images) and the depth categorical loss of synthetic data on the discriminator.
Sampling Strategies for GAN Synthetic Data
Unlike previous studies of randomly augmenting the synthetic data with real data, we present our simple, effective and easy to implement synthetic data sampling methods to train deep CNNs more efficiently and accurately.
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
Augmenting data in image space (eg.
