Nerf: Neural radiance field in 3d vision, a comprehensive review

K Gao, Y Gao, H He, D Lu, L Xu, J Li - arXiv preprint arXiv:2210.00379, 2022 - arxiv.org
Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene
representation has taken the field of Computer Vision by storm. As a novel view synthesis …

[PDF][PDF] The age of synthetic realities: Challenges and opportunities

JP Cardenuto, J Yang, R Padilha… - … on Signal and …, 2023 - nowpublishers.com
Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes

X Zhou, Z Lin, X Shan, Y Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present DrivingGaussian an efficient and effective framework for surrounding dynamic
autonomous driving scenes. For complex scenes with moving objects we first sequentially …

Deblur-nerf: Neural radiance fields from blurry images

L Ma, X Li, J Liao, Q Zhang, X Wang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Neural Radiance Field (NeRF) has gained considerable attention recently for 3D
scene reconstruction and novel view synthesis due to its remarkable synthesis quality …

Adop: Approximate differentiable one-pixel point rendering

D Rückert, L Franke, M Stamminger - ACM Transactions on Graphics …, 2022 - dl.acm.org
In this paper we present ADOP, a novel point-based, differentiable neural rendering
pipeline. Like other neural renderers, our system takes as input calibrated camera images …

Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond

Y Li, L Jiang, L Xu, Y Xiangli, Z Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Neural radiance fields (NeRF) and its subsequent variants have led to remarkable progress
in neural rendering. While most of recent neural rendering works focus on objects and small …

Local-to-global registration for bundle-adjusting neural radiance fields

Y Chen, X Chen, X Wang, Q Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRF) have achieved photorealistic novel views
synthesis; however, the requirement of accurate camera poses limits its application. Despite …

Refsr-nerf: Towards high fidelity and super resolution view synthesis

X Huang, W Li, J Hu, H Chen… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract We present Reference-guided Super-Resolution Neural Radiance Field (RefSR-
NeRF) that extends NeRF to super resolution and photorealistic novel view synthesis …

SeaThru-NeRF: Neural radiance fields in scattering media

D Levy, A Peleg, N Pearl… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

E2nerf: Event enhanced neural radiance fields from blurry images

Y Qi, L Zhu, Y Zhang, J Li - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRF) achieves impressive ren-dering performance by
learning volumetric 3D representation from several images of different views. However, it is …