# Pose Transfer Edit

6 papers with code · Computer Vision
Subtask of Image Generation

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

# Deformable GANs for Pose-based Human Image Generation

Specifically, given an image of a person and a target pose, we synthesize a new image of that person in the novel pose.

252

# Disentangled Person Image Generation

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.

143

# Guided Image-to-Image Translation with Bi-Directional Feature Transformation

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.

134

# Dense Intrinsic Appearance Flow for Human Pose Transfer

Unlike existing methods, we propose to estimate dense and intrinsic 3D appearance flow to better guide the transfer of pixels between poses.

108

# Pose Guided Person Image Generation

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.

2

# Progressive 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.

1