Deep learning-based human pose estimation: A survey
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
[HTML][HTML] Deep 3D human pose estimation: A review
Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …
3D joint locations of a human body from an image or video. Due to its widespread …
Advances in neural rendering
Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …
been the focus of decades of research. Traditionally, synthetic images of a scene are …
Neural actor: Neural free-view synthesis of human actors with pose control
We propose Neural Actor (NA), a new method for high-quality synthesis of humans from
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …
Person image synthesis via denoising diffusion model
The pose-guided person image generation task requires synthesizing photorealistic images
of humans in arbitrary poses. The existing approaches use generative adversarial networks …
of humans in arbitrary poses. The existing approaches use generative adversarial networks …
Parser-free virtual try-on via distilling appearance flows
Image virtual try-on aims to fit a garment image (target clothes) to a person image. Prior
methods are heavily based on human parsing. However, slightly-wrong segmentation …
methods are heavily based on human parsing. However, slightly-wrong segmentation …
Generative adversarial networks for image and video synthesis: Algorithms and applications
The generative adversarial network (GAN) framework has emerged as a powerful tool for
various image and video synthesis tasks, allowing the synthesis of visual content in an …
various image and video synthesis tasks, allowing the synthesis of visual content in an …
Exploring dual-task correlation for pose guided person image generation
Abstract Pose Guided Person Image Generation (PGPIG) is the task of transforming a
person image from the source pose to a given target pose. Most of the existing methods only …
person image from the source pose to a given target pose. Most of the existing methods only …
Xinggan for person image generation
We propose a novel Generative Adversarial Network (XingGAN or CrossingGAN) for person
image generation tasks, ie, translating the pose of a given person to a desired one. The …
image generation tasks, ie, translating the pose of a given person to a desired one. The …
Deep image spatial transformation for person image generation
Pose-guided person image generation is to transform a source person image to a target
pose. This task requires spatial manipulations of source data. However, Convolutional …
pose. This task requires spatial manipulations of source data. However, Convolutional …