Robust Novel View Synthesis with Color Transform Module
The advancements of the Neural Radiance Field (NeRF) and its variants have demonstrated
remarkable capabilities in generating photo‐realistic novel views from a small set of input …
remarkable capabilities in generating photo‐realistic novel views from a small set of input …
PW-NeRF: Progressive wavelet-mask guided neural radiance fields view synthesis
X Han, Z Liu, H Nan, K Zhao, D Zhao, X Jin - Image and Vision Computing, 2024 - Elsevier
Abstract Neural Radiance Fields (NeRF) can achieve state-of-the-art new view results when
given a sufficient number of training views. However, NeRF's rendering is based on …
given a sufficient number of training views. However, NeRF's rendering is based on …
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Recent research explosion on Neural Radiance Field (NeRF) shows the encouraging
potential to represent complex scenes with neural networks. One major drawback of NeRF is …
potential to represent complex scenes with neural networks. One major drawback of NeRF is …
Neural Radiance Fields (NeRFs): A Review and Some Recent Developments
M Debbagh - arXiv preprint arXiv:2305.00375, 2023 - arxiv.org
Neural Radiance Field (NeRF) is a framework that represents a 3D scene in the weights of a
fully connected neural network, known as the Multi-Layer Perception (MLP). The method …
fully connected neural network, known as the Multi-Layer Perception (MLP). The method …
Neural radiance fields from sparse rgb-d images for high-quality view synthesis
The recently proposed neural radiance fields (NeRF) use a continuous function formulated
as a multi-layer perceptron (MLP) to model the appearance and geometry of a 3D scene …
as a multi-layer perceptron (MLP) to model the appearance and geometry of a 3D scene …
Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields
Recent advances in Neural radiance fields (NeRF) have enabled high-fidelity scene
reconstruction for novel view synthesis. However, NeRF requires hundreds of network …
reconstruction for novel view synthesis. However, NeRF requires hundreds of network …
Current Status and Prospects of Research on Neural Radiance Fields
J Li, L Cheng, J He, Z Wang - Journal of Computer-Aided Design & Computer … - jcad.cn
The problem of novel view synthesis, a significant area of research in computer vision and
graphics, involves the generation of an image from a novel viewpoint, utilizing a set of 2D …
graphics, involves the generation of an image from a novel viewpoint, utilizing a set of 2D …
MMNeRF: multi-modal and multi-view optimized cross-scene neural radiance fields
Q Zhang, BH Wang, MC Yang, H Zou - IEEE Access, 2023 - ieeexplore.ieee.org
We present MMNeRF, a simple yet powerful learning framework for highly photo-realistic
novel view synthesis by learning Multi-modal and Multi-view features to guide neural …
novel view synthesis by learning Multi-modal and Multi-view features to guide neural …
Depth assisted novel view synthesis using few images
Q Li, R Fu, F Tang - Image and Vision Computing, 2024 - Elsevier
In this paper, we introduce a novel approach to improve the performance of Neural
Radiance Fields (NeRF) from limited input views. NeRF has exhibited impressive …
Radiance Fields (NeRF) from limited input views. NeRF has exhibited impressive …
Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Abstract Neural Radiance Fields (NeRF) have emerged as a powerful representation for the
task of novel view synthesis due to their simplicity and state-of-the-art performance. Though …
task of novel view synthesis due to their simplicity and state-of-the-art performance. Though …