State of the art on neural rendering

A Tewari, O Fried, J Thies, V Sitzmann… - Computer Graphics …, 2020 - Wiley Online Library
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

State of the art on 3D reconstruction with RGB‐D cameras

M Zollhöfer, P Stotko, A Görlitz… - Computer graphics …, 2018 - Wiley Online Library
The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

4d gaussian splatting for real-time dynamic scene rendering

G Wu, T Yi, J Fang, L **e, X Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Representing and rendering dynamic scenes has been an important but challenging task.
Especially to accurately model complex motions high efficiency is usually hard to guarantee …

Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction

Z Yang, X Gao, W Zhou, S Jiao… - Proceedings of the …, 2024 - openaccess.thecvf.com
Implicit neural representation has paved the way for new approaches to dynamic scene
reconstruction. Nonetheless cutting-edge dynamic neural rendering methods rely heavily on …

Dreamavatar: Text-and-shape guided 3d human avatar generation via diffusion models

Y Cao, YP Cao, K Han, Y Shan… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present DreamAvatar a text-and-shape guided framework for generating high-quality 3D
human avatars with controllable poses. While encouraging results have been reported by …

Humannerf: Free-viewpoint rendering of moving people from monocular video

CY Weng, B Curless, PP Srinivasan… - Proceedings of the …, 2022 - openaccess.thecvf.com
We introduce a free-viewpoint rendering method--HumanNeRF--that works on a given
monocular video of a human performing complex body motions, eg a video from YouTube …

Humanrf: High-fidelity neural radiance fields for humans in motion

M Işık, M Rünz, M Georgopoulos, T Khakhulin… - ACM Transactions on …, 2023 - dl.acm.org
Representing human performance at high-fidelity is an essential building block in diverse
applications, such as film production, computer games or videoconferencing. To close the …

Robust dynamic radiance fields

YL Liu, C Gao, A Meuleman… - Proceedings of the …, 2023 - openaccess.thecvf.com
Dynamic radiance field reconstruction methods aim to model the time-varying structure and
appearance of a dynamic scene. Existing methods, however, assume that accurate camera …

Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields

K Park, U Sinha, P Hedman, JT Barron… - arxiv preprint arxiv …, 2021 - arxiv.org
Neural Radiance Fields (NeRF) are able to reconstruct scenes with unprecedented fidelity,
and various recent works have extended NeRF to handle dynamic scenes. A common …

Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields

L Song, A Chen, Z Li, Z Chen, L Chen… - … on Visualization and …, 2023 - ieeexplore.ieee.org
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-
term quest. The task is especially appealing when only a few or even single RGB cameras …