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Found 6 papers, 1 papers with code
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
Existing methods mainly extract the text information from only one sentence to represent an image and the text representation effects the quality of the generated image well.
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
To transfer knowledge between discriminators, we design a multi-level discriminant knowledge distillation from the source discriminator to the target discriminator on both the real and fake samples.
F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks
Formulated as a conditional generation problem, face animation aims at synthesizing continuous face images from a single source image driven by a set of conditional face motion.
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
As a challenging task, unsupervised person ReID aims to match the same identity with query images which does not require any labeled information.
Extend the FFmpeg Framework to Analyze Media Content
This paper introduces a new set of video analytics plugins developed for the FFmpeg framework.
Semantic Neighborhood-Aware Deep Facial Expression Recognition
Different from many other attributes, facial expression can change in a continuous way, and therefore, a slight semantic change of input should also lead to the output fluctuation limited in a small scale.
