Single image 3D object reconstruction based on deep learning: A review

K Fu, J Peng, Q He, H Zhang - Multimedia Tools and Applications, 2021 - Springer
The reconstruction of 3D object from a single image is an important task in the field of
computer vision. In recent years, 3D reconstruction of single image using deep learning …

Recent advances in implicit representation-based 3d shape generation

JM Sun, T Wu, L Gao - Visual Intelligence, 2024 - Springer
Various techniques have been developed and introduced to address the pressing need to
create three-dimensional (3D) content for advanced applications such as virtual reality and …

Zero-1-to-3: Zero-shot one image to 3d object

R Liu, R Wu, B Van Hoorick… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an
object given just a single RGB image. To perform novel view synthesis in this …

One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization

M Liu, C Xu, H **, L Chen… - Advances in Neural …, 2023 - proceedings.neurips.cc
Single image 3D reconstruction is an important but challenging task that requires extensive
knowledge of our natural world. Many existing methods solve this problem by optimizing a …

One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion

M Liu, R Shi, L Chen, Z Zhang, C Xu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recent advancements in open-world 3D object generation have been remarkable with
image-to-3D methods offering superior fine-grained control over their text-to-3D …

Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers

ZX Zou, Z Yu, YC Guo, Y Li, D Liang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recent advancements in 3D reconstruction from single images have been driven by the
evolution of generative models. Prominent among these are methods based on Score …

Crosspoint: Self-supervised cross-modal contrastive learning for 3d point cloud understanding

M Afham, I Dissanayake… - Proceedings of the …, 2022 - openaccess.thecvf.com
Manual annotation of large-scale point cloud dataset for varying tasks such as 3D object
classification, segmentation and detection is often laborious owing to the irregular structure …