Neural Radiance Field-based Visual Rendering: A Comprehensive Review
In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …
of computer vision and graphics, providing strong technical support for solving key tasks …
Fast sun-aligned outdoor scene relighting based on tensorf
In this work, we introduce our method of outdoor scene relighting for Neural Radiance Fields
(NeRF) named Sun-aligned Relighting TensoRF (SR-TensoRF). SR-TensoRF offers a …
(NeRF) named Sun-aligned Relighting TensoRF (SR-TensoRF). SR-TensoRF offers a …
Retr: Modeling rendering via transformer for generalizable neural surface reconstruction
Generalizable neural surface reconstruction techniques have attracted great attention in
recent years. However, they encounter limitations of low confidence depth distribution and …
recent years. However, they encounter limitations of low confidence depth distribution and …
Localised-NeRF: Specular Highlights and Colour Gradient Localising in NeRF
D Selvaratnam, D Bazazian - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Abstract Neural Radiance Field (NeRF) based systems predominantly operate within the
RGB (Red Green and Blue) space; however the distinctive capability of the HSV (Hue …
RGB (Red Green and Blue) space; however the distinctive capability of the HSV (Hue …
Feature radiance fields (FeRF): A multi-level feature fusion method with deep neural network for image synthesis
J Chen, X Yu, C Wu, X Tian, K Xu - Applied Soft Computing, 2024 - Elsevier
Abstract Neural Radiance Field (NeRF) has brought revolutionary changes to the field of
image synthesis with its unique ability to generate highly realistic multi-view consistent …
image synthesis with its unique ability to generate highly realistic multi-view consistent …
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding
Road surface reconstruction plays a vital role in autonomous driving systems, enabling road
lane perception and high-precision mapping. Recently, neural implicit encoding has …
lane perception and high-precision mapping. Recently, neural implicit encoding has …
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
Abstract Neural Radiance Fields (NeRFs) have gained widespread recognition as a highly
effective technique for representing 3D reconstructions of objects and scenes derived from …
effective technique for representing 3D reconstructions of objects and scenes derived from …
Reconstruction of Neural Radiance Fields With Vivid Scenes in the Metaverse
With the rapid development of the metaverse, AR/VR technology and consumer electronics
have emerged as crucial drivers for future virtual experiences. In this context, realistic 3D …
have emerged as crucial drivers for future virtual experiences. In this context, realistic 3D …
Geometric-Aware Facial Landmark Emotion Recognition
Q Zhang, Z Wang, Y Liu, Z Qin… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Emotion recognition is crucial for enhancing human-computer interaction. While traditional
approaches largely depend on RGB images, our proposed Geometric-Aware Facial …
approaches largely depend on RGB images, our proposed Geometric-Aware Facial …
Jump-NERF: An Approach to Removing Glare and Pseudo Shadows Caused by Glass in Architectural Spaces
T Chen, Q Yang, Y Chen - 2023 China Automation Congress …, 2023 - ieeexplore.ieee.org
considering the optical factors of glass specular reflections on NERF (Neural Radiance
Fields) rendering, this article focuses on optimizing NERF technology in the aspect of glass …
Fields) rendering, this article focuses on optimizing NERF technology in the aspect of glass …