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Nerf: Neural radiance field in 3d vision, a comprehensive review
Neural Radiance Field (NeRF) has recently become a significant development in the field of
Computer Vision, allowing for implicit, neural network-based scene representation and …
Computer Vision, allowing for implicit, neural network-based scene representation and …
A comprehensive review of vision-based 3d reconstruction methods
L Zhou, G Wu, Y Zuo, X Chen, H Hu - Sensors, 2024 - mdpi.com
With the rapid development of 3D reconstruction, especially the emergence of algorithms
such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent …
such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent …
4d gaussian splatting for real-time dynamic scene rendering
Representing and rendering dynamic scenes has been an important but challenging task.
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Neuralangelo: High-fidelity neural surface reconstruction
Neural surface reconstruction has been shown to be powerful for recovering dense 3D
surfaces via image-based neural rendering. However, current methods struggle to recover …
surfaces via image-based neural rendering. However, current methods struggle to recover …
Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Implicit neural representation has paved the way for new approaches to dynamic scene
reconstruction. Nonetheless cutting-edge dynamic neural rendering methods rely heavily on …
reconstruction. Nonetheless cutting-edge dynamic neural rendering methods rely heavily on …
Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
We present a method that simultaneously addresses the tasks of dynamic scene novel-view
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
K-planes: Explicit radiance fields in space, time, and appearance
We introduce k-planes, a white-box model for radiance fields in arbitrary dimensions. Our
model uses d-choose-2 planes to represent a d-dimensional scene, providing a seamless …
model uses d-choose-2 planes to represent a d-dimensional scene, providing a seamless …
Hexplane: A fast representation for dynamic scenes
Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
Objaverse: A universe of annotated 3d objects
Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebImageText, and
LAION have propelled recent dramatic progress in AI. Large neural models trained on such …
LAION have propelled recent dramatic progress in AI. Large neural models trained on such …
Freenerf: Improving few-shot neural rendering with free frequency regularization
Novel view synthesis with sparse inputs is a challenging problem for neural radiance fields
(NeRF). Recent efforts alleviate this challenge by introducing external supervision, such as …
(NeRF). Recent efforts alleviate this challenge by introducing external supervision, such as …