Get 3D object point cloud from images using diffusion model based on ViT with DiffPoint

--

Get 3D object point cloud from images using diffusion model based on ViT with DiffPoint

DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model
arXiv paper abstract https://arxiv.org/abs/2402.11241
arXiv PDF paper https://arxiv.org/pdf/2402.11241.pdf

As … 2D-to-3D reconstruction has gained … attention … it becomes crucial … to generate high-quality point clouds.

… propose … DiffPoint that combines ViT and diffusion models for the task of point cloud reconstruction.

At each diffusion step, … divide the noisy point clouds into irregular patches.

… using a standard ViT backbone that treats all inputs as tokens (including time information, image embeddings, and noisy patches), … train … model to predict target points based on input images.

… evaluate DiffPoint on both single-view and multi-view reconstruction tasks and achieve state-of-the-art results.

… introduce a unified and flexible feature fusion module for aggregating image features from single or multiple input images …

Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website

LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b

Photo by Dana Andreea Gheorghe on Unsplash

--

--

AI News Clips by Morris Lee: News to help your R&D
AI News Clips by Morris Lee: News to help your R&D

Written by AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.

No responses yet