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 …

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 …

Behave: Dataset and method for tracking human object interactions

BL Bhatnagar, X **e, IA Petrov… - Proceedings of the …, 2022 - openaccess.thecvf.com
Modelling interactions between humans and objects in natural environments is central to
many applications including gaming, virtual and mixed reality, as well as human behavior …

The relightables: Volumetric performance capture of humans with realistic relighting

K Guo, P Lincoln, P Davidson, J Busch, X Yu… - ACM Transactions on …, 2019 - dl.acm.org
We present" The Relightables", a volumetric capture system for photorealistic and high
quality relightable full-body performance capture. While significant progress has been made …

[PDF][PDF] Total relighting: learning to relight portraits for background replacement.

R Pandey, S Orts-Escolano, C Legendre, C Haene… - ACM Trans …, 2021 - 3dvar.com
Compositing a person into a scene to look like they are really there is a fundamental
technique in visual effects, with many other applications such as smartphone photography …

CDFNet: Criss-Cross Dynamic Filter Network for RGB-D Salient Object Detection

M Zhang, S Yao, B Hu, Y Piao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The ability to deal with intra and inter-modality features has been critical to the development
of RGB-D salient object detection. While many works have advanced in leaps and bounds in …

A review of 3D human body pose estimation and mesh recovery

Z Huang, R Khan - Digital Signal Processing, 2022 - Elsevier
Abstract 3D human body pose estimation and mesh recovery refer to the approximation of
body parts and joint locations and their recovery into a 3D model to visualize the …

Neural light transport for relighting and view synthesis

X Zhang, S Fanello, YT Tsai, T Sun, T Xue… - ACM Transactions on …, 2021 - dl.acm.org
The light transport (LT) of a scene describes how it appears under different lighting
conditions from different viewing directions, and complete knowledge of a scene's LT …

Robustfusion: Human volumetric capture with data-driven visual cues using a rgbd camera

Z Su, L Xu, Z Zheng, T Yu, Y Liu, L Fang - Computer Vision–ECCV 2020 …, 2020 - Springer
High-quality and complete 4D reconstruction of human activities is critical for immersive
VR/AR experience, but it suffers from inherent self-scanning constraint and consequent …

Neural re-rendering of humans from a single image

K Sarkar, D Mehta, W Xu, V Golyanik… - Computer Vision–ECCV …, 2020 - Springer
Human re-rendering from a single image is a starkly underconstrained problem, and state-of-
the-art algorithms often exhibit undesired artefacts, such as over-smoothing, unrealistic …