Results 71 to 80 of about 8,729,056 (252)

Analyzing the Internals of Neural Radiance Fields

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Accepted to CVPRW'24! Project Page: https://r4dl.github.io/nerfinternals/
Lukas Radl, Andreas Kurz, Michael Steiner 0011, Markus Steinberger   +3 more
openaire   +3 more sources

Omni-nerf: neural radiance field from 360° image captures [PDF]

, 2022
International audienceThis paper tackles the problem of novel view synthesis (NVS) from 360° images with imperfect camera poses or intrinsic parameters.
Guillemot, Christine, Maugey, Thomas, Gu, Kai, Knorr, Sebastian   +3 more
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields [PDF]

, 2023
Neural Radiance Field (NeRF) has shown impressive performance in novel view synthesis via implicit scene representation. However, it usually suffers from poor scalability as requiring densely sampled images for each new scene.
Shao, Ling, Lu, Shijian, Xu, Muyu, Zhan, Fangneng, Zhang, Jiahui, Theobalt, Christian, Yu, Yingchen, Zhang, Xiaoqin   +7 more
core   +1 more source

Advanced Materials for Biologics Delivery to Brain Tumors

Advanced Materials, EarlyView.
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng, Yuxue Cao, Maria Kavallaris, Taskeen Janjua, Amirali Popat   +4 more
wiley   +1 more source

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Benchmarking Robustness in Neural Radiance Fields

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Neural Radiance Field (NeRF) has demonstrated excellent quality in novel view synthesis, thanks to its ability to model 3D object geometries in a concise formulation. However, current approaches to NeRF-based models rely on clean images with accurate camera calibration, which can be difficult to obtain in the real world, where data is often subject to ...
Chen Wang 0049, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie   +4 more
openaire   +3 more sources

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source