Results 151 to 160 of about 24,246 (264)
EvoMut: A computational framework for engineering oxidative stability in proteins
Protein Science, Volume 35, Issue 10, October 2026.Abstract Amino acid oxidation is a major cause of protein instability and loss of function in therapeutic and industrial settings. Although methionine, cysteine, tryptophan, tyrosine, histidine, lysine, and arginine residues are widely recognized as oxidation‐prone, only a subset of such residues is dominant functional hotspots, and not all are ...
Seyed Shahriar Arab +2 more
wiley +1 more source
CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features
2024 11th IEEE Swiss Conference on Data Science (SDS)Modeling 3D scenes by volumetric feature grids is one of the promising directions of neural approximations to improve Neural Radiance Fields (NeRF). Instant-NGP (INGP) introduced multi-resolution hash encoding from a lookup table of trainable feature grids which enabled learning high-quality neural graphics primitives in a matter of seconds.
Omnia Mahmoud +2 more
openaire +2 more sources
Engineering Reports, Volume 8, Issue 9, September 2026.The proposed latent diffusion compositing framework achieves high‐quality, temporally coherent, and efficient real‐time video compositing for practical AI‐driven visual effects applications. ABSTRACT Artificial intelligence–driven visual effects have become increasingly important in film and television production; however, achieving high‐quality real ...
Bowen An, Yue Xie, Yalun Lei
wiley +1 more source
Di-NeRF: Distributed NeRF for Collaborative Learning With Relative Pose Refinement
IEEE Robotics and Automation Letters9 pages, 11 figures, Accepted in IEEE-RA ...
Mahboubeh Asadi +2 more
openaire +2 more sources
NeRF Synthesis with Shading Guidance
16 pages, 16 figures, accepted by CAD/Graphics 2023(poster)
Chenbin Li +4 more
openaire +4 more sources
ISPRS International Journal of Geo-InformationRapid acquisition of 3D reconstruction models of landslides is crucial for post-disaster emergency response and rescue operations. This study explores the application potential of Neural Radiance Fields (NeRF) technology for rapid post-disaster site ...
Jinge Zhang +5 more
doaj +1 more source
Leveraging Neural Radiance Fields for Large-Scale 3D Reconstruction from Aerial Imagery
Remote SensingSince conventional photogrammetric approaches struggle with with low-texture, reflective, and transparent regions, this study explores the application of Neural Radiance Fields (NeRFs) for large-scale 3D reconstruction of outdoor scenes, since NeRF-based
Max Hermann +3 more
doaj +1 more source
GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration
Volume rendering in neural radiance fields is inherently time-consuming due to the large number of MLP calls on the points sampled per ray. Previous works would address this issue by introducing new neural networks or data structures.
Xie, Yaqi +3 more
core
NeRF in Robotics: A Survey [PDF]
Meticulous 3D environment representations have been a longstanding goal in computer vision and robotics fields. The recent emergence of neural implicit representations has introduced radical innovation to this field as implicit representations enable ...
Pollefeys, Marc +9 more
core +1 more source
MI-NeRF: Learning a Single Face NeRF from Multiple Identities [PDF]
In this work, we introduce a method that learns a single dynamic neural radiance field (NeRF) from monocular talking face videos of multiple identities.
Chrysos, Grigorios G. +2 more
core +1 more source