IEEE

Cross-Modal Guidance Network For Sketch-Based 3d Shape Retrieval

The main challenge of sketch-based 3D shape retrieval is the large cross-modal differences between 2D sketches and 3D shapes. Most recent works employed two heterogeneous networks and a shared loss to ...
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

A Multi-Sensor Fusion Based 2D-Driven 3D Object Detection Approach for Large Scene Applications

Abstract: In this paper, we propose a 3D object detection approach for large-scale environments by considering the 2D visual information and 3D lidar data simultaneously. In the proposed multi-sensor ...
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 ...