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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 …
computer vision. In recent years, 3D reconstruction of single image using deep learning …
Recent advances in implicit representation-based 3d shape generation
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 …
create three-dimensional (3D) content for advanced applications such as virtual reality and …
Zero-1-to-3: Zero-shot one image to 3d object
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 …
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 …
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
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 …
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
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 …
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 …
classification, segmentation and detection is often laborious owing to the irregular structure …