Apr 30, 2019 · This paper proposes an end-to-end efficient generation network, which is composed of an encoder, a 2D-3D fusion module, and a decoder. First, a ...

A 3D point cloud reconstruction from a real single image with a complex background. It is visualized from two viewpoints. No segmentation mask is required. …

The proposed network can handle the 3D object generation from a single real image captured from any viewpoint and complex background.

An end-to-end efficient generation network, which is composed of an encoder, a 2D–3D fusion module, and a decoder that attains state-of-the-art accuracy ...

RealPoint3D can handle 3D object generation from a single real image captured from any viewpoint and complex background.

This paper proposes a novel method for single-image 3D reconstruction which generates a sparse point cloud via a conditional denoising diffusion process.

Missing: RealPoint3D: | Show results with:RealPoint3D:

Jun 22, 2024 · Taking additional 3D information, RealPoint3D can handle 3D object generation from a single real image captured from any viewpoint and complex ...

To guide 3D point cloud generation, we propose a novel network, RealPoint3D, to integrate prior 3D shape knowledge into the network. Taking additional 3D ...

This paper focuses on a novel generative approach for 3D point clouds that makes use of invertible flow-based models.