Gesture-to-Gesture Translation
6 papers with code • 2 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Gesture-to-Gesture Translation
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Most implemented papers
Pose Guided Person Image Generation
sgoldyaev/DeepFashion.ADGAN
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NeurIPS 2017
This paper proposes the novel Pose Guided Person Generation Network (PG$^2$) that allows to synthesize person images in arbitrary poses, based on an image of that person and a novel pose.
Disentangled Person Image Generation
charliememory/Disentangled-Person-Image-Generation
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CVPR 2018
Generating novel, yet realistic, images of persons is a challenging task due to the complex interplay between the different image factors, such as the foreground, background and pose information.
Deformable GANs for Pose-based Human Image Generation
AliaksandrSiarohin/pose-gan
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CVPR 2018
Specifically, given an image of a person and a target pose, we synthesize a new image of that person in the novel pose.
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Therefore, this task requires a high-level understanding of the mapping between the input source gesture and the output target gesture.
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
In this work, we propose a novel GAN architecture that decouples the required annotations into a category label - that specifies the gesture type - and a simple-to-draw category-independent conditional map - that expresses the location, rotation and size of the hand gesture.
Unified Generative Adversarial Networks for Controllable Image-to-Image Translation
The proposed model consists of a single generator and a discriminator taking a conditional image and the target controllable structure as input.
