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

K Gao, Y Gao, H He, D Lu, L Xu, J Li - ar**: Segment and edit anything in 3d scenes
M Ye, M Danelljan, F Yu, L Ke - European Conference on Computer …, 2024 - Springer
Abstract The recent Gaussian Splatting achieves high-quality and real-time novel-view
synthesis of the 3D scenes. However, it is solely concentrated on the appearance and …

Fsgs: Real-time few-shot view synthesis using gaussian splatting

Z Zhu, Z Fan, Y Jiang, Z Wang - European conference on computer vision, 2024 - Springer
Novel view synthesis from limited observations remains a crucial and ongoing challenge. In
the realm of NeRF-based few-shot view synthesis, there is often a trade-off between the …

Tri-miprf: Tri-mip representation for efficient anti-aliasing neural radiance fields

W Hu, Y Wang, L Ma, B Yang, L Gao… - Proceedings of the …, 2023 - openaccess.thecvf.com
Despite the tremendous progress in neural radiance fields (NeRF), we still face a dilemma of
the trade-off between quality and efficiency, eg, MipNeRF presents fine-detailed and anti …

Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures

Z Chen, T Funkhouser, P Hedman… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synthesize
images of 3D scenes from novel views. However, they rely upon specialized volumetric …