Pose Transfer
21 papers with code • 2 benchmarks • 2 datasets
Benchmarks
| Trend | Dataset | Best Model | Paper Title | Paper | Code | Compare |
|---|---|---|---|---|---|---|
|
||||||
|
Market-1501
DeepFashion
Greatest papers with code
Learn your ABCs: Approximate Bijective Correspondence for isolating factors of variation
google-research/google-research
•
•
We propose a novel algorithm that relies on a weak form of supervision where the data is partitioned into sets according to certain inactive factors of variation.
Progressive and Aligned Pose Attention Transfer for Person Image Generation
This paper proposes a new generative adversarial network for pose transfer, i. e., transferring the pose of a given person to a target pose.
Progressive Pose Attention Transfer for Person Image Generation
tengteng95/Pose-Transfer
•
•
CVPR 2019
This paper proposes a new generative adversarial network for pose transfer, i. e., transferring the pose of a given person to a target pose.
Ranked #1 on
Pose Transfer
on Market-1501
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.
Ranked #5 on
Gesture-to-Gesture Translation
on NTU Hand Digit
Gesture-to-Gesture Translation
Image-to-Image Translation
+1
XingGAN for Person Image Generation
We propose a novel Generative Adversarial Network (XingGAN or CrossingGAN) for person image generation tasks, i. e., translating the pose of a given person to a desired one.
Ranked #1 on
Pose Transfer
on Deep-Fashion
Guided Image-to-Image Translation with Bi-Directional Feature Transformation
vt-vl-lab/Guided-pix2pix
•
•
ICCV 2019
We address the problem of guided image-to-image translation where we translate an input image into another while respecting the constraints provided by an external, user-provided guidance image.
Ranked #1 on
Image Reconstruction
on Edge-to-Clothes
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.
Ranked #2 on
Gesture-to-Gesture Translation
on Senz3D
Dense Intrinsic Appearance Flow for Human Pose Transfer
ly015/intrinsic_flow
•
•
CVPR 2019
Unlike existing methods, we propose to estimate dense and intrinsic 3D appearance flow to better guide the transfer of pixels between poses.
Neural Pose Transfer by Spatially Adaptive Instance Normalization
jiashunwang/Neural-Pose-Transfer
•
•
CVPR 2020
Pose transfer has been studied for decades, in which the pose of a source mesh is applied to a target mesh.
Bipartite Graph Reasoning GANs for Person Image Generation
We present a novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the challenging person image generation task.
Ranked #1 on
Pose Transfer
on Deep-Fashion