Results 1 to 10 of about 25,965 (227)
A benchmark dataset for objective quality assessment of view synthesis for neural radiance field (NeRF)Figshare [PDF]
Neural Radiance Fields (NeRF) are revolutionizing diverse fields such as autonomous driving, education, and virtual reality (VR). As their applications expand, the ability to accurately evaluate the quality of NeRF-generated content becomes essential ...
Chibuike Onuoha +5 more
doaj +2 more sources
SLAM Meets NeRF: A Survey of Implicit SLAM Methods
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gains, especially when Neural Radiance Fields (NeRFs) are implemented.
Yunqi Cheng, Zong-hai Chen, Jikai Wang
exaly +3 more sources
MBS-NeRF: reconstruction of sharp neural radiance fields from motion-blurred sparse images [PDF]
The recent advance in Neural Radiance Fields (NeRF), which utilizes Multilayer Perceptrons (MLP) for implicit scene representation, enables the synthesis of realistic views from new perspectives.
Changbo Gao +3 more
doaj +2 more sources
SPARSESAT-NERF: DENSE DEPTH SUPERVISED NEURAL RADIANCE FIELDS FOR SPARSE SATELLITE IMAGES [PDF]
Digital surface model generation using traditional multi-view stereo matching (MVS) performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at discontinuities. Neural radiance fields (NeRF) offer a new paradigm for reconstructing
L. Zhang, L. Zhang, E. Rupnik
doaj +1 more source
Recursive-NeRF: An Efficient and Dynamically Growing NeRF
View synthesis methods using implicit continuous shape representations learned from a set of images, such as the Neural Radiance Field (NeRF) method, have gained increasing attention due to their high quality imagery and scalability to high resolution. However, the heavy computation required by its volumetric approach prevents NeRF from being useful in
Guo-Wei Yang +5 more
openaire +3 more sources
This paper addresses the problem of novel view synthesis using Neural Radiance Fields (NeRF) for scenes with dynamic illumination. NeRF training utilizes photometric consistency loss that is pixel-wise consistency between a set of scene images and ...
Olena Kolodiazhna +3 more
doaj +1 more source
Memories of past events and common knowledge are critical to flexibly adjust one’s future behavior based on prior experiences. The formation and the transformation of these memories into a long-lasting form are supported by a dialogue between populations
Frédéric Michon +10 more
doaj +1 more source
Neural circuits mediating olfactory-driven behavior in fish
The fish olfactory system processes odor signals and mediates behaviors that are crucial for survival such as foraging, courtship and alarm response. Although the upstream olfactory brain areas (olfactory epithelium and olfactory bulb) are well studied ...
Florence eKermen +9 more
doaj +1 more source
Core Precession and Global Modes in Granular Bulk Flow [PDF]
A transition from local to global shear zones is reported for granular flows in a modified Couette cell. The experimental geometry is a slowly rotating drum which has a stationary disc of radius R_s fixed at its bottom.
Denis Fenistein +3 more
core +3 more sources
EGENEFACE: HIGH QUALITY GENERALIZED TALKING FACE SYNTHESIZING ENABLED BY AUDIO [PDF]
A critical issue in virtual reality and filmmaking is the generation of photo-realistic video portraits from random spoken recordings. The use of neural radiance fields is to enhance 3D realism and image authenticity has been the subject of several ...
Nilam Thakkar +2 more
doaj +1 more source

