Results 171 to 180 of about 24,230 (259)

Advances in 4D Representation: Geometry, Motion, and Interaction

Computer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao, S. Nag, K. Wang, A. Vora, G. Ji, P. Chun, A. Mahdavi‐Amiri, H. Zhang   +7 more
wiley   +1 more source

Azimuth-Frequency Conditioned Mamba U-Net for ISAR Image Refocusing. [PDF]

Sensors (Basel)
Wang S, Qu W, Wu S, Wang F, Zhu B.
europepmc   +1 more source

KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image

Computer Graphics Forum, EarlyView.
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang, John Restrepo, Xun Cao, Ivo Ihrke   +3 more
wiley   +1 more source

A two-step iterative framework for signal and image deblurring using G-I-Nonexpansive Mappings. [PDF]

PLoS One
Yolacan E.
europepmc   +1 more source

Recent Trends in Inverse Rendering

Computer Graphics Forum, EarlyView.
This survey reviews 84 papers published between 2020 and 2025 on inverse rendering methods, introducing a taxonomy based on input data, scene representations, optimization strategies, and evaluation methods. We analyze emerging trends in neural, differentiable, and Gaussian‐splatting approaches, discuss applications, and identify key challenges and ...
S. Ullah, F. Pellacini, A. Giachetti
wiley   +1 more source

CDMSP: a convolutional dense multi-scale pooling framework for low-light colonoscopy image enhancement. [PDF]

Front Artif Intell
K M, Palanisamy G, J S N.
europepmc   +1 more source

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi, Sanyam Jain, Khuram Naveed, Sepanta Hosseinpour, Lise‐Lotte Kirkevang, Ali Nosrat, Ruben Pauwels   +6 more
wiley   +1 more source

Low-dose CT imaging using a regularization-enhanced efficient diffusion probabilistic model. [PDF]

Med Phys
Li Q, Safari M, Wang S, Xie H, Ding J, Wang T, Yang X.   +6 more
europepmc   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

Journal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng   +7 more
wiley   +1 more source

Autoencoders for unsupervised analysis of rat myeloarchitecture. [PDF]

Brain Struct Funct
Estela M, Salo RA, San Martín Molina I, Narvaez O, Kolehmainen V, Tohka J, Sierra A.   +6 more
europepmc   +1 more source