Results 91 to 100 of about 3,318,906 (295)

Neural Radiance Fields with Torch Units

CoRR
Neural Radiance Fields (NeRF) give rise to learning-based 3D reconstruction methods widely used in industrial applications. Although prevalent methods achieve considerable improvements in small-scale scenes, accomplishing reconstruction in complex and large-scale scenes is still challenging.
Bingnan Ni, Huanyu Wang, Dongfeng Bai, Minghe Weng, Dexin Qi, Weichao Qiu, Bingbing Liu   +6 more
openaire   +2 more sources

Relightable Neural Radiance Fields for Novel View Synthesis [PDF]

This paper describes relighting neural radiance fields for novel view synthesis. View synthesis is the problem of using input images with corresponding camera angles to produce a photorealistic 3D model of an environment and its objects.
Mahoney, Malena I.
core   +1 more source

Microfluidic Engineering of Microgels: A Review of Emerging Technologies, Materials, Fabrication Strategies, and Applications

Advanced Healthcare Materials, EarlyView.
Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar, Laura Neely, Cynthia Pham, Nada Ibrahim, Alexis Larios‐Cervantes, Ben A. Kertesz, Todd Hoare   +6 more
wiley   +1 more source

CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis

, 2023
Neural radiance fields (NeRF) have demonstrated a promising research direction for novel view synthesis. However, the existing approaches either require per-scene optimization that takes significant computation time or condition on local features which ...
He, Hao, Liang, Yixun, Chen, Yingcong, Xiao, Shishi, Chen, Jierun   +4 more
core   +2 more sources

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

Biocompatible Conjugated Electrospinning Nanofibrous Membrane With Self‐Powered Piezoelectric Capacity for Accelerated Wound Healing

Advanced Healthcare Materials, EarlyView.
A self‐powered PCL/gelatin‐PVDF‐TrFE/MXene conjugated electrospun membrane integrates biocompatibility with enhanced piezoelectric responsiveness. Mechanical deformation is converted into localized electrical signals that stimulate wound‐repair cells proliferation and migration, promote angiogenesis and tissue remodeling, and accelerate full‐thickness ...
Diandian Li, Ke Wu, Yangyang Lu, Qinglan Xia, Jialong Chen, Yifan Zhang, Zhaoyu Chen, Zhiyuan She, Junjin Jie, Juzi Xia, Muran Zhou, Aimei Zhong   +11 more
wiley   +1 more source

Decoupled two-stage talking head generation via Gaussian-landmark-based neural radiance fields

Computational Visual Media
Talking head generation based on neural radiance fields (NeRF) has gained prominence, primarily owing to its implicit 3D representation capability within neural networks.
Boyao Ma, Yuanping Cao, Lei Zhang
doaj   +1 more source

New era in image augmentation – neural radiance fields [PDF]

, 2023
In this article, a new method of image augmentation using Neural Radiance Fields is being considered. NeRF has significant advantages in generating photo-realistic images with high resolution and fidelity, and it can be used for a wide range of ...
Shashko, O.
core  

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

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