Recent Trends in 3D Reconstruction of General Non-Rigid Scenes

Abstract
Reconstructing models of the real world, including 3D geometry, appearance, and motion of real scenes, is essential for computer graphics and computer vision. It enables the synthesizing of photorealistic novel views, useful for the movie industry and AR/VR applications. It also facilitates the content creation necessary in computer games and AR/VR by avoiding laborious manual design processes. Further, such models are fundamental for intelligent computing systems that need to interpret real-world scenes and actions to act and interact safely with the human world. Notably, the world surrounding us is dynamic, and reconstructing models of dynamic, non-rigidly moving scenes is a severely underconstrained and challenging problem. This state-of-the-art report (STAR) offers the reader a comprehensive summary of state-of-the-art techniques with monocular and multi-view inputs such as data from RGB and RGB-D sensors, among others, conveying an understanding of different approaches, their potential applications, and promising further research directions. The report covers 3D reconstruction of general non-rigid scenes and further addresses the techniques for scene decomposition, editing and controlling, and generalizable and generative modeling. More specifically, we first review the common and fundamental concepts necessary to understand and navigate the field and then discuss the state-of-the-art techniques by reviewing recent approaches that use traditional and machine-learning-based neural representations, including a discussion on the newly enabled applications. The STAR is concluded with a discussion of the remaining limitations and open challenges.
Description

CCS Concepts: Computing methodologies → Reconstruction; Volumetric models; Point-based models; Mesh geometry models; Motion capture; Shape representations; Appearance and texture representations

        
@article{
10.1111:cgf.15062
, journal = {Computer Graphics Forum}, title = {{
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes
}}, author = {
Yunus, Raza
and
Lenssen, Jan Eric
and
Niemeyer, Michael
and
Liao, Yiyi
and
Rupprecht, Christian
and
Theobalt, Christian
and
Pons-Moll, Gerard
and
Huang, Jia-Bin
and
Golyanik, Vladislav
and
Ilg, Eddy
}, year = {
2024
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.15062
} }
Citation