Gesture-to-Gesture Translation

6 papers with code • 2 benchmarks • 0 datasets

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Most implemented papers

Pose Guided Person Image Generation

sgoldyaev/DeepFashion.ADGAN 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 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 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

Ha0Tang/GestureGAN 14 Aug 2018

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

yhlleo/TriangleGAN 12 Jul 2019

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

Ha0Tang/GestureGAN 12 Dec 2019

The proposed model consists of a single generator and a discriminator taking a conditional image and the target controllable structure as input.