Siamese-discriminant deep reinforcement learning for solving jigsaw puzzles with large eroded gaps

X Song, J **, C Yao, S Wang, J Ren… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Jigsaw puzzle solving has recently become an emerging research area. The developed
techniques have been widely used in applications beyond puzzle solving. This paper …

RLGrid: reinforcement learning controlled grid deformation for coarse-to-fine point could completion

S Li, P Gao, X Tan, W **ang - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Many point cloud completion methods typically rely on two steps: coarse generation and 2D
Grid deformed fine output. However, in the fine generation, the expansion range (2D Grid …

Spatial perception in stereoscopic augmented reality based on multifocus sensing

JR Alonso, A Fernández, B Javidi - Optics Express, 2024 - opg.optica.org
In many areas ranging from medical imaging to visual entertainment, 3D information
acquisition and display is a key task. In this regard, in multifocus computational imaging …

Survey on controlable image synthesis with deep learning

S Zhang, J Li, L Yang - arxiv preprint arxiv:2307.10275, 2023 - arxiv.org
Image synthesis has attracted emerging research interests in academic and industry
communities. Deep learning technologies especially the generative models greatly inspired …

Robust Active Target Tracking via Constrained Policy Optimization in Partially Observable Environments

T Mao, H Zheng, XB Zhai, J Zhu - 2024 7th International …, 2024 - ieeexplore.ieee.org
In recent years, active object tracking (AOT), which is a distinct technology from passive
target tracking, has made significant advances in the field of artificial intelligence. AOT aims …

Photometric Stereo Super Resolution via Complex Surface Structure Estimation

HN Lee, HG Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Photometric stereo, which derives per-pixel surface normals from shading cues, faces
challenges in capturing high-resolution (HR) images in linear response systems. We …

Multi-task visual discomfort prediction model for stereoscopic images based on multi-view feature representation

H Liu, H Qin, X Xu, S Cai, S Huang - Applied Intelligence, 2023 - Springer
Visual discomfort prediction (VDP) is used to evaluate a user's visual discomfort when
viewing stereoscopic images. The focus of this study is to explore more representative and …

Continuous transformation superposition for visual comfort enhancement of casual stereoscopic photography

Y Chen, Q Shen, Y Niu, W Liu - … on Virtual Reality and 3D User …, 2022 - ieeexplore.ieee.org
Casual stereoscopic photography allows ordinary users to create a stereoscopic photo
using two photos taken casually by a monocular camera. The visual comfort of a casual …

[HTML][HTML] Survey on low-level controllable image synthesis with deep learning

S Zhang, J Li, L Yang - Electronic Research Archive, 2023 - aimspress.com
Deep learning, particularly generative models, has inspired controllable image synthesis
methods and applications. These approaches aim to generate specific visual content using …