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 …
Benchmarking robustness in neural radiance fields
Abstract Neural Radiance Field (NeRF) has demonstrated excellent quality in novel view
synthesis thanks to its ability to model 3D object geometries in a concise formulation …
synthesis thanks to its ability to model 3D object geometries in a concise formulation …
Light field synthesis by training deep network in the refocused image domain
CL Liu, KT Shih, JW Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Light field imaging, which captures spatial-angular information of light incident on image
sensors, enables many interesting applications such as image refocusing and augmented …
sensors, enables many interesting applications such as image refocusing and augmented …
NeRF-MS: Neural Radiance Fields with Multi-Sequence
Neural radiance fields (NeRF) achieve impressive performance in novel view synthesis
when trained on only single sequence data. However, leveraging multiple sequences …
when trained on only single sequence data. However, leveraging multiple sequences …
Vosh: Voxel-Mesh Hybrid Representation for Real-Time View Synthesis
C Zhang, Y Zhou, L Zhang - arXiv preprint arXiv:2403.06505, 2024 - arxiv.org
The neural radiance field (NeRF) has emerged as a prominent methodology for synthesizing
realistic images of novel views. While neural radiance representations based on voxels or …
realistic images of novel views. While neural radiance representations based on voxels or …
Merf: Memory-efficient radiance fields for real-time view synthesis in unbounded scenes
Neural radiance fields enable state-of-the-art photorealistic view synthesis. However,
existing radiance field representations are either too compute-intensive for real-time …
existing radiance field representations are either too compute-intensive for real-time …
A review on neural radiance fields based view synthesis
C Yuan, GAI Meng - Journal of Graphics, 2021 - txxb.com.cn
Image-based view synthesis techniques are widely applied to both computer graphics and
computer vision. One of the key issues is how to use the information from the input image to …
computer vision. One of the key issues is how to use the information from the input image to …
SLS4D: Sparse Latent Space for 4D Novel View Synthesis
QY Feng, HX Chen, QC Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Neural radiance fields (NeRF) have achieved great success in novel view synthesis and 3D
representation for static scenarios. Existing dynamic NeRFs usually exploit a locally dense …
representation for static scenarios. Existing dynamic NeRFs usually exploit a locally dense …
End-to-end view synthesis via nerf attention
In this paper, we present a simple seq2seq formulation for view synthesis where we take a
set of ray points as input and output colors corresponding to the rays. Directly applying a …
set of ray points as input and output colors corresponding to the rays. Directly applying a …
Deep view synthesis from sparse photometric images
The goal of light transport acquisition is to take images from a sparse set of lighting and
viewing directions, and combine them to enable arbitrary relighting with changing view …
viewing directions, and combine them to enable arbitrary relighting with changing view …