Results 41 to 50 of about 24,246 (264)
Neural circuits mediating olfactory-driven behavior in fish
Frontiers in Neural Circuits, 2013 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
CoRR, 2023 Neural Radiance Fields (NeRFs) learn to represent a 3D scene from just a set of registered images. Increasing sizes of a scene demands more complex functions, typically represented by neural networks, to capture all details. Training and inference then involves querying the neural network millions of times per image, which becomes impractically slow ...
Tim Elsner +5 more
openaire +3 more sources
NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review [PDF]
Computational Visual Media, 2022 In March 2020, Neural Radiance Field (NeRF) revolutionized Computer Vision, allowing for implicit, neural network-based scene representation and novel view synthesis.
K. Gao +5 more
semanticscholar +1 more source
SeaThru-NeRF: Neural Radiance Fields in Scattering Media [PDF]
Computer Vision and Pattern Recognition, 2023 Research on neural radiance fields (NeRFs) for novel view generation is exploding with new models and extensions. However, a question that remains unanswered is what happens in underwater or foggy scenes where the medium strongly influences the ...
Deborah Levy +6 more
semanticscholar +1 more source
Creating Virtual Intraoperative CT Images From Endoscopic Video During Endoscopic Sinus Surgery: A Proof-of-Concept Study. [PDF]
Int Forum Allergy RhinolInternational Forum of Allergy &Rhinology, EarlyView.
Harris GJ +6 more
europepmc +2 more sources
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification [PDF]
International Conference on Learning Representations, 2023 Existing approaches to system identification (estimating the physical parameters of an object) from videos assume known object geometries. This precludes their applicability in a vast majority of scenes where object geometries are complex or unknown.
Xuan Li +6 more
semanticscholar +1 more source
EGENEFACE: HIGH QUALITY GENERALIZED TALKING FACE SYNTHESIZING ENABLED BY AUDIO [PDF]
Proceedings on Engineering SciencesA 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
AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis [PDF]
IEEE International Conference on Computer Vision, 2021 Generating high-fidelity talking head video by fitting with the input audio sequence is a challenging problem that receives considerable attentions recently. In this paper, we address this problem with the aid of neural scene representation networks. Our
Yudong Guo +5 more
semanticscholar +1 more source
SHERF: Generalizable Human NeRF from a Single Image [PDF]
IEEE International Conference on Computer Vision, 2023 Existing Human NeRF methods for reconstructing 3D humans typically rely on multiple 2D images from multi-view cameras or monocular videos captured from fixed camera views.
Shoukang Hu +5 more
semanticscholar +1 more source
NeRF is a Valuable Assistant for 3D Gaussian Splatting [PDF]
IEEE International Conference on Computer VisionWe introduce NeRF-GS, a novel framework that jointly optimizes Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). This framework leverages the inherent continuous spatial representation of NeRF to mitigate several limitations of 3DGS ...
Shuangkang Fang +7 more
semanticscholar +1 more source