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Siamese-discriminant deep reinforcement learning for solving jigsaw puzzles with large eroded gaps
Jigsaw puzzle solving has recently become an emerging research area. The developed
techniques have been widely used in applications beyond puzzle solving. This paper …
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
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 …
Grid deformed fine output. However, in the fine generation, the expansion range (2D Grid …
Spatial perception in stereoscopic augmented reality based on multifocus sensing
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 …
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 …
communities. Deep learning technologies especially the generative models greatly inspired …
Robust Active Target Tracking via Constrained Policy Optimization in Partially Observable Environments
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 …
target tracking, has made significant advances in the field of artificial intelligence. AOT aims …
Photometric Stereo Super Resolution via Complex Surface Structure Estimation
Photometric stereo, which derives per-pixel surface normals from shading cues, faces
challenges in capturing high-resolution (HR) images in linear response systems. We …
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 …
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 …
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 …
methods and applications. These approaches aim to generate specific visual content using …