Multimodal image synthesis and editing: A survey and taxonomy

F Zhan, Y Yu, R Wu, J Zhang, S Lu, L Liu… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …

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] 3d gaussian splatting for real-time radiance field rendering.

B Kerbl, G Kopanas, T Leimkühler, G Drettakis - ACM Trans. Graph., 2023 - sgvr.kaist.ac.kr
[CS482] 3D Gaussian Splatting for Real-Time Radiance Field Rendering Page 1 3D Gaussian
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …

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 …

Scannet++: A high-fidelity dataset of 3d indoor scenes

C Yeshwanth, YC Liu, M Nießner… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present ScanNet++, a large-scale dataset that couples together capture of high-quality
and commodity-level geometry and color of indoor scenes. Each scene is captured with a …

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 …