GitHub

Neural Feature Fusion Fields (N3F): 3D Distillation of Self-Supervised 2D Image Representations

This repository contains the official implementation of the paper Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations by Vadim Tschernezki, Iro Laina, Diane ...
IEEE

DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature

Abstract: Panoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D ...
GitHub

[ICME2025] From 2D images to 3D model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
IEEE

Automatic 3D Registration of Dental CBCT and Face Scan Data Using 2D Projection Images

Abstract: This paper presents a fully automatic registration method of dental cone-beam computed tomography (CBCT) and face scan data. Difficulties in accurately merging facial scans and CBCT images ...
CarDekho

Check Out The Mahindra XEV 9S Base Pack ONE Above Variant In 10 Images

Despite being an entry-level trim, the XEV 9S Pack ONE Above almost looks like a top-spec variant from the outside. The front end features bi-LED projector headlights with LED DRLs, whose design is ...