Deep person generation: A survey from the perspective of face, pose, and cloth synthesis

T Sha, W Zhang, T Shen, Z Li, T Mei - ACM Computing Surveys, 2023 - dl.acm.org
Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shopping, and art/movie …

Appearance and Pose-guided Human Generation: A Survey

F Liao, X Zou, W Wong - ACM Computing Surveys, 2024 - dl.acm.org
Appearance and pose-guided human generation is a burgeoning field that has captured
significant attention. This subject's primary objective is to transfer pose information from a …

Neural style transfer for image steganography and destylization with supervised image to image translation

M Garg, JS Ubhi, AK Aggarwal - Multimedia Tools and Applications, 2023 - Springer
Today, a lot of information is being shared electronically in a way or another. Despite the
advancements in technology used for data transfer, the reliable transmission of sensitive …

Generating a novel synthetic dataset for rehabilitation exercises using pose-guided conditioned diffusion models: A quantitative and qualitative evaluation

C Mennella, U Maniscalco, G De Pietro… - Computers in Biology …, 2023 - Elsevier
Abstract Machine learning has emerged as a promising approach to enhance rehabilitation
therapy monitoring and evaluation, providing personalized insights. However, the scarcity of …

Jointly harnessing prior structures and temporal consistency for sign language video generation

Y Suo, Z Zheng, X Wang, B Zhang, Y Yang - ACM Transactions on …, 2024 - dl.acm.org
Sign language provides a way for differently-abled individuals to express their feelings and
emotions. However, learning sign language can be challenging and time consuming. An …

PoT-GAN: Pose transform GAN for person image synthesis

T Li, W Zhang, R Song, Z Li, J Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Pose-based person image synthesis aims to generate a new image containing a person
with a target pose conditioned on a source image containing a person with a specified pose …

Multiview image generation for vehicle reidentification

F Zhang, Y Ma, G Yuan, H Zhang, J Ren - Applied Intelligence, 2021 - Springer
Vehicle re-identification (ReID) with viewpoint variations is an interesting but challenging
task in computer vision. Most existing vehicle ReID approaches focus on the original single …

Human image generation: A comprehensive survey

Z Jia, Z Zhang, L Wang, T Tan - ACM Computing Surveys, 2024 - dl.acm.org
Image and video synthesis has become a blooming topic in computer vision and machine
learning communities along with the developments of deep generative models, due to its …

The image local autoregressive transformer

C Cao, Y Hong, X Li, C Wang, C Xu… - Advances in Neural …, 2021 - proceedings.neurips.cc
Recently, AutoRegressive (AR) models for the whole image generation empowered by
transformers have achieved comparable or even better performance compared to …

Do as I Do: Pose Guided Human Motion Copy

S Wu, Z Liu, B Zhang, R Zimmermann… - … on Dependable and …, 2024 - ieeexplore.ieee.org
Human motion copy is an intriguing yet challenging task in artificial intelligence and
computer vision, which strives to generate a fake video of a target person performing the …