A Monocular Depth Estimation Method for Autonomous Driving Vehicles Based on Gaussian Neural Radiance Fields. [PDF]
Nie Z, Zhao Z, Pan J, Ren Y, Yu H, Xu L.
europepmc +1 more source
Single-view neural illumination estimation and editing for dynamic light field display. [PDF]
Hong X +9 more
europepmc +1 more source
Editorial on the Special Issue "Geometry Reconstruction from Images (2nd Edition)". [PDF]
Meneveaux D.
europepmc +1 more source
Temperature-Dependent Infrared Engineering for Extreme Environments: All-Dielectric Thermal Photonic Metamaterials Stable at 1873 K in Air. [PDF]
Liu Y +7 more
europepmc +1 more source
Neural radiance fields assisted by image features for UAV scene reconstruction. [PDF]
Chen Z, Chen X, Ye C, Wu S, Wu X.
europepmc +1 more source
AI-Based 3D Modeling Strategies for Civil Infrastructure: Quantitative Assessment of NeRF and Photogrammetry. [PDF]
Atencio E +4 more
europepmc +1 more source
Controlling diverse robots by inferring Jacobian fields with deep networks. [PDF]
Li SL +6 more
europepmc +1 more source
PoseNeRF: In Situ 3D Reconstruction Method Based on Joint Optimization of Pose and Neural Radiation Field for Smooth and Weakly Textured Aeroengine Blade. [PDF]
Xiao Y, Wu X, Yin Y, Cai Y, Hou Y.
europepmc +1 more source
TeaNeRF: an integrated 3D visual perception pipeline for tea bud harvesting. [PDF]
Chen W, Li X, Rao L, Xia X.
europepmc +1 more source
3D Rendering Using Neural Radiance Fields
Neural Radiance Fields (NeRF) have been applied to various tasks related to synthesizing view images of objects from multiple-view images by learning a 3D rendering model represented by neural networks. Many studies have focused on applying NeRF for volume rendering of complex objects and on optimizing NeRF with different variants.
openaire +1 more source

