Learning to detect 3D symmetry from single-view RGB-D images with weak supervision

Y Shi, X Xu, J **, X Hu, D Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
3D symmetry detection is a fundamental problem in computer vision and graphics. Most
prior works detect symmetry when the object model is fully known, few studies symmetry …

Extreme rotation estimation using dense correlation volumes

R Cai, B Hariharan, N Snavely… - Proceedings of the …, 2021 - openaccess.thecvf.com
We present a technique for estimating the relative 3D rotation of an RGB image pair in an
extreme setting, where the images have little or no overlap. We observe that, even when …

Symmnerf: Learning to explore symmetry prior for single-view view synthesis

X Li, C Hong, Y Wang, Z Cao… - Proceedings of the …, 2022 - openaccess.thecvf.com
We study the problem of novel view synthesis of objects from a single image. Existing
methods have demonstrated the potential in single-view view synthesis. However, they still …

Single depth-image 3d reflection symmetry and shape prediction

Z Zhang, B Dong, T Li, F Heide… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this paper, we present Iterative Symmetry Completion Network (ISCNet), a single depth-
image shape completion method that exploits reflective symmetry cues to obtain more …

Snes: Learning probably symmetric neural surfaces from incomplete data

E Insafutdinov, D Campbell, JF Henriques… - … on Computer Vision, 2022 - Springer
We present a method for the accurate 3D reconstruction of partly-symmetric objects. We
build on the strengths of recent advances in neural reconstruction and rendering such as …

Symmetrygrasp: Symmetry-aware antipodal grasp detection from single-view rgb-d images

Y Shi, Z Tang, X Cai, H Zhang, D Hu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Symmetry is ubiquitous in everyday objects. Humans tend to grasp objects by recognizing
the symmetric regions. In this letter, we investigate how symmetry could boost robotic grasp …

[HTML][HTML] A symmetry-aware alignment method for photogrammetric 3D models

W Niu, X Huang, H **ang, X Wang, S Ji… - ISPRS Journal of …, 2023 - Elsevier
Despite the rapid development of crowd-sourced photogrammetric reconstruction, a huge
database of 3D models is still given in arbitrary scale, position, and orientation. To alleviate …

Recurrent connections facilitate symmetry perception in deep networks

S Sundaram, D Sinha, M Groth, T Sasaki, X Boix - Scientific Reports, 2022 - nature.com
Symmetry is omnipresent in nature and perceived by the visual system of many species, as it
facilitates detecting ecologically important classes of objects in our environment. Yet, the …

Deep3dsketch+\+: High-fidelity 3d modeling from single free-hand sketches

Y Zang, C Ding, T Chen, P Mao… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The rise of AR/VR has led to an increased demand for 3D content. However, the traditional
method of creating 3D content using Computer-Aided Design (CAD) is a labor-intensive and …

Robust Symmetry Detection via Riemannian Langevin Dynamics

J Je, J Liu, G Yang, B Deng, S Cai… - SIGGRAPH Asia 2024 …, 2024 - dl.acm.org
Symmetries are ubiquitous across all kinds of objects, whether in nature or in man-made
creations. While these symmetries may seem intuitive to the human eye, detecting them with …