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 …

Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering

R Shao, Z Zheng, H Tu, B Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present Tensor4D, an efficient yet effective approach to dynamic scene modeling. The
key of our solution is an efficient 4D tensor decomposition method so that the dynamic scene …

Structured local radiance fields for human avatar modeling

Z Zheng, H Huang, T Yu, H Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
It is extremely challenging to create an animatable clothed human avatar from RGB videos,
especially for loose clothes due to the difficulties in motion modeling. To address this …

Function4d: Real-time human volumetric capture from very sparse consumer rgbd sensors

T Yu, Z Zheng, K Guo, P Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Human volumetric capture is a long-standing topic in computer vision and computer
graphics. Although high-quality results can be achieved using sophisticated off-line systems …

Fourier plenoctrees for dynamic radiance field rendering in real-time

L Wang, J Zhang, X Liu, F Zhao… - Proceedings of the …, 2022 - openaccess.thecvf.com
Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly
on modeling static objects captured under multi-view settings where real-time rendering can …

Humannerf: Efficiently generated human radiance field from sparse inputs

F Zhao, W Yang, J Zhang, P Lin… - Proceedings of the …, 2022 - openaccess.thecvf.com
Recent neural human representations can produce high-quality multi-view rendering but
require using dense multi-view inputs and costly training. They are hence largely limited to …

Pamir: Parametric model-conditioned implicit representation for image-based human reconstruction

Z Zheng, T Yu, Y Liu, Q Dai - IEEE transactions on pattern …, 2021 - ieeexplore.ieee.org
Modeling 3D humans accurately and robustly from a single image is very challenging, and
the key for such an ill-posed problem is the 3D representation of the human models. To …

Editable free-viewpoint video using a layered neural representation

J Zhang, X Liu, X Ye, F Zhao, Y Zhang, M Wu… - ACM Transactions on …, 2021 - dl.acm.org
Generating free-viewpoint videos is critical for immersive VR/AR experience, but recent
neural advances still lack the editing ability to manipulate the visual perception for large …

Deephuman: 3d human reconstruction from a single image

Z Zheng, T Yu, Y Wei, Q Dai… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D
human reconstruction from a single RGB image. To reduce the ambiguities associated with …