[HTML][HTML] Deep 3D human pose estimation: A review

J Wang, S Tan, X Zhen, S Xu, F Zheng, Z He… - Computer Vision and …, 2021 - Elsevier
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 …

A review on generative adversarial networks: Algorithms, theory, and applications

J Gui, Z Sun, Y Wen, D Tao, J Ye - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …

Imagpose: A unified conditional framework for pose-guided person generation

F Shen, J Tang - Advances in neural information …, 2025 - proceedings.neurips.cc
Diffusion models represent a promising avenue for image generation, having demonstrated
competitive performance in pose-guided person image generation. However, existing …

Person image synthesis via denoising diffusion model

AK Bhunia, S Khan, H Cholakkal… - Proceedings of the …, 2023 - openaccess.thecvf.com
The pose-guided person image generation task requires synthesizing photorealistic images
of humans in arbitrary poses. The existing approaches use generative adversarial networks …

Thin-plate spline motion model for image animation

J Zhao, H Zhang - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Image animation brings life to the static object in the source image according to the driving
video. Recent works attempt to perform motion transfer on arbitrary objects through …

Neural actor: Neural free-view synthesis of human actors with pose control

L Liu, M Habermann, V Rudnev, K Sarkar… - ACM transactions on …, 2021 - dl.acm.org
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 …

Stylegan-human: A data-centric odyssey of human generation

J Fu, S Li, Y Jiang, KY Lin, C Qian, CC Loy… - … on Computer Vision, 2022 - Springer
Unconditional human image generation is an important task in vision and graphics, enabling
various applications in the creative industry. Existing studies in this field mainly focus on …

State of the art on neural rendering

A Tewari, O Fried, J Thies, V Sitzmann… - Computer Graphics …, 2020 - Wiley Online Library
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

First order motion model for image animation

A Siarohin, S Lathuilière, S Tulyakov… - Advances in neural …, 2019 - proceedings.neurips.cc
Image animation consists of generating a video sequence so that an object in a source
image is animated according to the motion of a driving video. Our framework addresses this …

Advancing pose-guided image synthesis with progressive conditional diffusion models

F Shen, H Ye, J Zhang, C Wang, X Han… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent work has showcased the significant potential of diffusion models in pose-guided
person image synthesis. However, owing to the inconsistency in pose between the source …